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Basics of IoT and its Future Outlook

Posted on March 2, 2020April 28, 2020 by Surbhi Sharma

Internet of Things (IoT) refers to billions of objects or devices connected via the internet for garnering and sharing information. Any physical object can be transformed into an IoT device with the help of wireless networks. Thus, senseless devices become digitally intelligent, connecting the physical world with the digital world. These smart IoT devices can communicate without human intervention and can also be controlled and monitored remotely.

Examples of IoT

As said earlier, almost every physical object can be turned into an IoT device and controlled using internet connectivity. An example of an IoT device is a light bulb that can be operated with the help of a mobile application. Similarly, a motion sensor, a smart thermostat, or a connected streetlight are some more examples of IoT devices. Moreover, only those devices can be included in IoT that are not expected to have internet connectivity, for instance, a light bulb. Thus, a smartphone and a computer can’t be considered as IoT devices.

Functioning of IoT Devices

IoT protocols are used for transferring data from one device to another through the internet. The devices’ sensors are linked to data networks like Wifi, Bluetooth, etc., and IoT platforms bridge these links. However, almost every business turn to an IoT app development company to ensure device security and prevent their data from being hacked.

Sensors/Devices

The sensors or devices garner information from the environment. This data could be as simple as a temperature reading or as complicated as a full video feed.

Sensors and devices are two different terms because many sensors can be packed together, or sensors can be a part of a device that offers much more than just sensing things. For example, a smartphone is a device that has multiple sensors like GPS, camera, accelerometer, and more. But, your smartphone isn’t just a sensor.

Whether it is a standalone sensor or device, the first step is to collect data from the environment.

Connectivity

The next step is to transfer the collected information to the cloud via a gateway. Sensors and cloud can be connected through various technologies, including Bluetooth, Wi-Fi, low-power wide-area networks, and more. Each option has tradeoffs between range, bandwidth, and power consumption, which are the major factors to choose the mode of connectivity.

Data Processing

Once the data is sent to the cloud, the software performs some kind of processing on it. This could be very easy, like checking whether the temperature is within an acceptable range. Or it could be quite complicated like using computer vision on a video to recognize objects (intruders in a home).

But what happens if there is an intruder in the home or temperature too high? This is where the user comes in.

User Interface

Next, the information is sent to the users via an alert like text, email, notification, etc. For instance, the user will receive a text when the temperature is too high in cold storage.

Also, a user might have an interface like a web browser or a mobile app through which they can proactively track their system. Using an IoT app, users may also perform an action such as remotely adjusting the temperature and affect the system.

Besides, a few actions are performed automatically. Instead of waiting for the user to change the temperature, the system does it itself through predefined rules.

Future of IoT

IoT has been a massive success since its inception due to its extensive range of applications. With the help of IoT devices, collecting, sharing, and monitoring data has become an easy task. It has been anticipated that there will about 21B IoT connected devices by the end of 2020.

The IoT applications are huge, and businesses are investing heavily in IoT Development S ervices to get the best app solutions. Not only this, but cities are also becoming smart by employing IoT technology and leveraging IoT connected devices. It will help in changing our environment as per our needs. There have been speculations that cities will generate a revenue of $210.2B in 2020, which was $129.8B in 2017. Similarly, other industries like transport, health, buildings, etc. will also rake in massive revenue this year.

So, to summarize, the future of the Internet of Things seems to be very promising, progressing, and bright in the long run. Also, this technology will revolutionize every industry by streamlining and expediting their operations.

IoT Key Components – From Device to Application

Posted on February 12, 2020April 28, 2020 by Abhishek Kalyan

The Internet of Things (IoT) is escalating at a fast pace. Statista forecasts that around 50B IoT devices will be in use by 2030 across the globe. However, despite this massive IoT presence and business opportunities offered by this technology, a host of people are unable to comprehend this term. Also, they are not familiar with the essential components required to build a reliable architecture for IoT applications and implementations.

Technically, IoT is a network of identifiable devices or objects that can communicate with one another via some kind of connectivity, without human intervention. Let’s analyze what elements are really needed to create an interconnected infrastructure and empower physical devices with digital intelligence.

The Fundamental Layers of IoT Architecture

Since IoT systems are diverse in terms of industry-specific use cases, there is no viable architecture that can completely address all possible IoT applications. The most extensively used IoT architecture comprises three layers:

The Perception Layer – The purpose of this layer is to interact with the physical world through IoT devices integrated with sensors and actuators.

The Network Layer – This layer intends to conduct a fundamental analysis of data garnered by sensors using IoT gateways and communicate that data to a server for further processing over communication protocols like MQTT.

The Application Layer – This layer provides an interconnection between the above two hardware-related layers and business applications to render app-specific services to users.

Key Components of IoT

IoT is way more than just a set of elements like actuators and sensors. Within the notion of IoT, the devices and elements are connected in a single network or environment, with analytical and managerial systems, to facilitate automated device management as well as data-driven decision making. Let’s explore each architectural component of IoT and how they all are connected to build a complete IoT network.

IoT Sensors

The practice of capturing and analyzing data on a particular object using sensors is nothing new. A range of sensors has been used in industries like buildings, vehicles, factories, and industrial facilities, where they have become the backbone of industrial automation.

The most significant characteristic of sensors is their ability to convert information collected from the IoT network into data for further analysis and processing. In fact, every device which is referred to as “Smart” is developed using sensors.

Data garnered by sensors may have different degrees of complexity, ranging from as simple as humidity or sensor monitoring to as complicated as video transmission. Depending on the use case, a single sensor or a group of multiple sensors can be integrated into a device to extract more detailed and relevant data.

IoT Actuators

Both sensors and actuators are transducers, which means that they can convert signals from one form to another. However, unlike sensors, which track data provided by devices, actuators are responsible for performing actions. These actions may include generating a sound, switching a light on/off, or locking a door.

Typically, sensors and actuators work mutually to monitor as well as control physical devices or processes remotely. In the setup, they are only endpoints that connect physically to the network. However, the analysis of the collected data is conducted in a control layer, commonly known as an IoT gateway.

IoT Gateways

An IoT gateway is a device that is used for basic data analysis. In some cases, when data analysis needs a little number of computing resources, IoT gateways serve as decision points and send specific control commands to actuators that perform actions. However, if a sophisticated data processing is required or information is needed to be stored for further analysis, gateways transfer it to a server located either in the cloud or on-premises.

IoT Connectivity

Now, you have a clear idea of the elements used to build an IoT infrastructure, let’s dive into how they interact with one another and the cloud environment.

End devices and servers can be connected via cellular or satellite networks, Bluetooth, Wi-Fi, Ethernet (Wired LAN), as well as low-power wide-area networks (LPWAN).

Range, bandwidth, power consumption, and cost are deemed the significant factors to decide the mode of connectivity. However, they all perform the same task – getting data to the server, be it in the cloud or on-premises.

IoT Platforms

An IoT platform is a middleware between hardware-related layers (Perception and Network) on the one hand, and the application layers, on the other. It is a multi-tiered technology that helps in gathering, storing, processing, and visualizing data. It also facilitates the integration of data with other parts of the value chain, like a cloud or end-user app.

Furthermore, an IoT platform is accountable for cross-device compatibility and scalability and has exceptional features that expedite the app development process. It also helps in managing connected devices using various protocols, network topologies, configuration, as well as conducts over-the-air (OTA) firmware updates.

Currently, there is a myriad of IoT platforms in the market, each having its own significance. Most businesses incline toward top platforms like Google Cloud, Amazon Web Services, and Microsoft Azure to operate connected devices in software projects. However, relying on these giants may not ensure the success of your project. In most cases, IoT platforms are customized for specific industries or sectors, or focus on a particular type of device like smartwatches, beacons, augmented reality headsets, etc. So, you must define your IoT strategy, address the needs of your business, challenges you want to overcome, and benefits you wish to yield before choosing the perfect IoT platform. You can also consult with a reliable IoT app development company to steer clear your doubts.

Conclusion

After exploring the components of the IoT ecosystem, it is certain that the fusion of these elements may vary from project to project. The core of any IoT product is converting raw data into actionable insights as well as value and helping you to accomplish business goals. So, it will be beneficial if you avail IoT app development services for dealing with various factors affecting IoT architecture and navigating your IoT implementation journey.

9 IoT Applications in Industrial Automation

Posted on February 6, 2020April 28, 2020 by Surbhi Sharma

In today’s tech-driven era, innovation has reached to an extent where machines have begun replacing humans. There has been constant research and advancements to restore comfort and add value to our lives. Internet of Things (IoT) is one of those tech innovations that plays a significant role to make this possible. Every sector, including healthcare, home, manufacturing, energy, etc. is witnessing a massive acceleration in their daily operations using this technology.

Additionally, Statista reports say that the global market size of industrial robots and peripheral is anticipated to reach 70 billion US dollars in 2024. Thus, businesses across the globe are embracing industrial automation extensively.

The primary reason behind the mainstream adoption of industrial automation is the benefits offered by this advancement. Some of its top benefits are:

High accuracy
Enhanced efficiency
Cost-effective
Low errors
Lower power needs
Easy to control
Quick process completion

Currently, every smart businessperson strives to automate their business processes to stay ahead in the wave of ever-changing tech-innovations. Below, we are exploring a few IIoT applications to provide you a clear idea of the areas where automation can be leveraged.

IIoT Application #1: Security

You may have heard about fire sensors. It is a small example of how IoT can provide safety and security to business premises. In some industries, there is a need for an additional layer of security besides the general needs.

IoT devices have the potential to continuously monitoring the safety indicators to protect the workplace and workforce from mishaps. They also check and track the illness and injury rates, thus providing a safe and healthy environment in industries.

IIoT Application #2: Automation of processes

Employing IIoT, almost every operation can be automated. Smart sensor networks that are connected to a cloud system can offer a great deal of control over your processes. Thus, the need for hiring employees to handle such tasks will be eliminated.

For instance, restaurants are automating the process of food wastage detection with the help of AI and IoT. The blend of IoT and industrial automation is significantly empowering industries. We suggest partnering with an IoT app development company to create a futuristic solution that can uniquely automate your business processes.

IIoT Application #3: Maintenance

How do you keep up with the maintenance needs of your machines? With the signs of hampered productions, right? In order to minimize the risk of low-quality productions, connect IoT sensors to your equipment. It signals you before the machines start malfunctioning. Thus, you can facilitate predictive maintenance of your business with IoT, regardless of the industry.

Wondering how it works? Sensors connected to your machines transmit accurate data to the cloud system. Besides, they allow you to monitor the performance, improvement, and progress of your equipment.

IIoT Application #4: Smart logistics management

Do you know Amazon has announced to deliver packages using drones? Drones will not only improve safety, speed, and efficiency but also replace humans.

Transport drones greatly help businesses to manage logistics. Although it needs a considerable investment at the initial stage, it will turn out to be a boon and way lucrative after successful implementation.

Moreover, you can also track the need for components with IoT devices. This is majorly leveraged in the airline sector. Inventory management can also be easily handled with IIoT devices.

IIoT Application #5: Integration of smart tools

A plethora of smart devices has been launched by IoT app developers, which provide a safer and error-free workforce to the workforce.

Let’s take an example of wearables like smart glasses. They provide instant notifications in case of an emergency like gas leakage or fire. These devices are also capable of determining the efficiencies of an individual to check their capability for a particular task.

IIoT Application #6: Data analysis with custom software

Machine learning technology has taken data management to the next level. The massive data garnered with the help of sensors is meticulously analyzed. This analytics solution is a major benefit of IoT in industries, which also helps in the optimization of processes. Thus, you can build software for this purpose that suffices the needs and aligns with the operations of your business.

IIoT Application #7: Advanced packaging

Smart tracking tools have enabled businesses to track the loss of packages/products. The weather, roads, and other environmental conditions are also examined before the transit process. This tracking via IoT mechanisms can create a patterns using which businesses can quickly identify better ways of managing products. By availing IoT app development services, you can build smart IoT solutions to optimize your product packaging.

IIoT Application #8: Smart vehicles

Companies striving to achieve next-level industrial automation are employing automotive vehicles that consist multiple sensors. These smart vehicles can divert their ways to reach their destination. Besides, they have an in-built GPS feature that can detect the traffic in the way and the shortest possible route to smoothen the journey.

IIoT Application #9: Easy quality control

The quality check of the products and operations is imperative for the success of every business. It enables them to stop following practices that waste time and resources.

Since IoT sensors can gather data related to temperature, raw materials, and even wasted resources, quality engineers can easily detect the loopholes. Such data can also identify the areas where the processes can be handled efficiently. With IoT-enabled devices, quality issues can be eliminated radically.

Conclusion:

IIoT applications have gained a massive momentum lately. The IoT in industrial automation is bringing forth a lot of advancements by making a lot of things possible, which were unimaginable earlier.

If you think that you are left behind in the wave technological transformations, consult with a reliable IoT app development company. From start-ups to enterprises, every business is investing in IIoT due to its applications and benefits in industrial automation.

How the Blend of IoT and Automation Can Empower Industries

Posted on January 29, 2020April 28, 2020 by Surbhi Sharma

IoT development is deemed a significant technological advancement in today’s industrial revolution. Businesses endeavoring to achieve better productivity and streamline internal operations are embracing this digital transformation.

Currently, most businesses strive to earn larger market shares but face challenges in creating innovative equipment and systems. IoT easily overcomes this hurdle by providing them high-speed and efficient systems that not only smoothly run their processes but also bring forth new revenue opportunities. Another challenge they encounter is the integration of these advanced systems for seamless apps. Original Equipment Manufacturers (OEMs) and design engineers employ research and development (R&D) strategy or avail IoT development services to build low-cost solutions aligning with the ever-changing demands as well as trends.

Impact of IoT on Automation

The IoT has reached the next stage of business, where the focal point is integration and convergence across industrial verticals. Businesses seem more focused on the value and objectives as compared to the versatility of connected devices now.

Besides, the advancements occurring in IoT connected devices, software, platform, apps, and systems are the key factors to take note of. They heavily rely on the implementation of subsystems and modular components that can boost efficiency and eventually reduce manufacturing costs. It is also imperative for manufacturers to develop equipment with flexibility in design, reusability, movement, and interconnectivity.

IoT-enhanced Manufacturing

With applications in home automation, healthcare, automobiles, and other industries, the Internet of Things has become ubiquitous. However, with conventional methods, manufacturers have to cope with a lot of obstacles while developing smooth communications for enhancing the capacity as well as flexibility of analyzers, actuators, and robotics. To overcome these challenges, IoT-enabled industrial automation offers the integration of multiple commercial technologies across significant industrial apps, such as Programming Logic Controllers (PLCs).

Additionally, managing the massive amount of data is also one of the biggest concerns of digitization. Analysis and distribution of garnered data are essential for OEMs to derive predictive models. These models help end-users to minimize costly unplanned downtime. Besides using the cloud, manufacturers need to create an interface to read the data as well as present relevant information to the end-user. Thus, automation engineers partner with IoT developers for efficiently managing data.

How IIoT is Transforming Manufacturing

Due to the increasing cost-effectiveness of cloud technologies, IoT, operations, and maintenance personnel are relying on IIoT by integrating more sensors, intelligent controls, and smart switches. Industries need systems that can perform predictive analysis and figure out the projected time of servicing. Researchers believe that such abilities have the potential of considerably reducing maintenance costs as well as breakdowns of companies.

Enterprises are having a keen interest in incorporating three crucial elements of business – machinery, robotics, and human power. So, manufacturers are embracing the advanced systems to minimize operational efforts as well as manufacturing costs.

Furthermore, elevating the adoption of supervisory control and data acquisition (SCADA) systems is a growth indication for traditional manufacturers. Conventional SCADA systems can’t communicate with logistics and operations. This is where IIoT comes into handy. Industrial IoT connects all aspects of manufacturing, including sales, operations, delivery, and inventory. These connections make equipment more autonomous, and above all, they can coexist with SCADA. Thus, it boosts integration and eventually replaces or incorporate data acquisition systems into IoT.

Four Key IoT Trends

According to Grand View Search, the global IIoT market is anticipated to reach approx. $933.62 by 2025. The need for real-time information remains the primary market propellant, and innovation is expected to drive IIoT demand. Most businesses focus on databases to monitor, categorize, and optimize operations. Emerging regions are also projected to witness significant growth with increased industrialization as well as the adoption of IoT over the coming years. Four major IIoT Trends are:

Data Intelligence

Continuously growing efforts to improve digital literacy is a significant trend anticipated to emerge in the coming future. Organizations invest in systems and programs to ensure the data collected is 100% accurate. Preferring data quality over quantity makes manufacturing companies ahead of the competitors. So, they are more likely to hire IoT development services to find a way to gauge the potential of major cloud platforms with the use of advanced tools.

Smart Cities

The rising demand for the connected environment, high precision location services, and autonomous technologies ensure the meteoric growth of IoT for smart cities. It not only boosts the adoption of IoT and IIoT but also improves infrastructure services and applications. Eventually, incorporation of these systems elevates the accuracy of parking systems, traffic lights, security systems, and more.

Business Collaborations

While innovations like flexible machines and systems and integration persist, businesses vigorously forge ahead. Most businesses engage in cooperative partnerships and business collaborations. Mergers and acquisitions (M&A) are expected to help businesses develop advanced capabilities and expedite their operations. Researchers suggest that M&A can bring analytics and digital capabilities under one roof and provide a competitive edge to the organizations.

Advanced Applications

The development of advanced apps, software upgrades, predictive maintenance, next-generation manufacturing, blockchain, and autonomous data centers also impact the manufacturing and automation engineering industries in the foreseeable years.

Final Words

Lack of data visibility and system upgrade costs used to be the biggest hindrance in most businesses until the advent of IoT. Also, data gathering and analysis is a time-consuming and attention-demanding task, which can disrupt routine operations. Incorporating IoT into industrial automation can resolve these problems and empower business verticals globally.

If you want to automate your processes by implementing IoT into your business, turn to our IoT development services. We will steer your whole IoT implementation journey right from ideation and consultation to development and deployment.

A Brief Understanding of the Role of MQTT Protocol in IoT

Posted on January 27, 2020April 28, 2020 by Abhishek Kalyan

Internet of Things (IoT) and machine-to-machine (M2M) technologies use messaging and connectivity protocols to transfer information remotely. The key features of these protocols are:

Low Power Consumption
Small Code Footprint
Low Latency
Use of Pub/Sub Pattern
Low Bandwidth Consumption

MQTT protocol suffices all these requirements and has renowned cloud platforms – Microsoft Azure, AWS, and Google Cloud – as a driving force behind it. Thus, it complements the necessities of IoT and has become a sought-after protocol for this technology.

In this article, we will shed light on what MQTT is, how it works, and how it is beneficial for IoT.

What is MQTT?

MQTT (Message Queuing Telemetry Transport) is an open OASIS and ISO standard (ISO/IEC PRF 20922)[3] lightweight and flexible protocol that was launched by IBM. The lightweight feature allows it to be easily implemented into power-constrained IoT devices, while the flexibility provides support to varied application scenarios for IoT devices and services.

Furthermore, MQTT uses the Public/Subscribe pattern to exchange messages between devices. This protocol basically operates over TCP/IP; however, any network protocol that provides lossless, ordered, bi-directional connections can support MQTT. Generally, it is developed for connections with remote locations where the network bandwidth is limited, and a small code footprint is required.

How Does MQTT Work?

MQTT Architecture

Similar to other IoT protocols, MQTT is based on clients and a server. The connected devices in MQTT are called “Clients”, which communicate with a server known as “Broker”. To clarify, brokers handle data transmission between clients.

When a client wants to send information to the broker, it will be published to a particular topic. In this case, the client will be referred to as a “Publisher”. On the other hand, when a client that has subscribed to that topic wants to receive information from the broker, then the client will be referred to as a “Subscriber”. Additionally, the client that has subscribed to a particular topic will receive all messages published on the topic henceforth.

The publishers and subscribers do not typically know each other. They are only aware of the broker that serves as an intermediary. Also, any client can be a publisher, subscriber, or both. This setup is recognized as the “Pub/Sub Model”.

MQTT Messages QoS Level

Besides messages, the publisher also sends QoS (Quality of Service) level, which defines the guarantee of the message delivery. There are mainly three QoS levels, such as:

At most once: The broker will only receive the published message at most once. This level should not be used for sending important messages since there are fewer possibilities that the subscribers will receive it.

At least once: In this level, the publisher continuously sends the message until it receives an acknowledgment from the broker. In other words, it is more important that the message is received by the subscribers than to ensure that it is received only once. This is the most commonly used QoS level.

Exactly once: The publisher and broker work in tandem to ensure that the subscriber receives messages exactly once. This level needs some additional overhead in the form of a four-part handshake, which provides a secure authentication strategy for information delivered through network architectures. It is the safest and most guaranteed QoS level but also the slowest one. Thus, it is used only when necessary.

How Does MQTT Work in IoT?

As said earlier, MQTT is one of the most widely used protocols in IoT. Let’s understand how it works in the Internet of Things with an example.

Assume you have multiple weather sensors ( a humidity sensor and a temperature sensor) and two mobile phones. You want to send data about the humidity level to one phone and the temperature level to another.

Using MQTT, this task can easily be managed. Firstly, you need to set up an MQTT broker service. Then, you can connect two sensors on the broker as clients and set them up to send data on topics – “Humid” and “Temp”.

After that, you can also integrate the mobile phones with the broker and subscribe the first mobile to “Temp” and the second one to “Humid”. Consequently, two connected devices will receive messages about the humidity and the temperature whenever the sensors publish the required information to the broker.

Over time, MQTT is becoming the most preferred protocol among businesses and IoT app developers for exchanging data among IoT devices.

Key Benefits of MQTT

Lightweight Code Footprint: IoT devices require only a few lines of code to integrate and work with MQTT protocol.

Minimized Data Packets: MQTT is very energy-efficient and operates significantly if a device is battery-powered or has little CPU power.

Speed: MQTT runs in real-time, with no delays outside of Quality of Service (QoS).

Seamless Implementation: MQTT has in-built libraries in programming languages like Python and Elixir. So, it is easy to implement.

Last Will and Testament: If a client disconnects unexpectedly, you can set message instructions that will be sent to all subscribers so as to remedy the situation.

Retained Messages: Each topic can have a retained message that every client will automatically receive on subscribing.

Common Alternatives to MQTT

XMPP (Extensible Messaging and Presence Protocol) is a communication protocol based on XML language for storing and exchanging data. It is often used to support instant messaging services.

A few differences between XMPP and MQTT are:

The XMPP code footprint is slightly heavier than MQTT, and you need an XML parser to encode as well as decode information.
XMPP doesn’t support pub/sub model by default, but it can be done with an extension.
XMPP takes more bandwidth than MQTT.

HTTP (Hypertext Transfer Protocol) is the foundation of the World Wide Web. However, this protocol is stateless and requires more overhead per transmission as compared to MQTT. Additionally, it has a lower throughput than MQTT, which means that you cannot send multiple messages simultaneously.

Conclusion

MQTT plays a significant role in making IoT products more “low-lift” while achieving desired connections among devices, servers as well as apps. Devices that use MQTT protocol sync easier with existing systems.

If you are devising for a major IoT project, then MQTT would be the best choice. You can also partner with experienced IoT app developers who know the ins and outs of this protocol.

7 Proven Ways to Improve Your IoT Device Security

Posted on January 24, 2020April 28, 2020 by Abhishek Kalyan

Internet of Things is driving connectivity and convergence between everything. Amidst the emerging technologies and ever-changing trends, IoT smartly connects businesses and customers in this digitally-driven world. However, it also prompts hackers and attackers to commit data breaches.

We can’t gainsay the fact that businesses perceive IoT as a boon for their growth, but due to lack of security checks, this emerging technology can also turn into a bane for them. Initially, it will result in data loss, but as the ripples spread, it will end up in a slew of losses – tangible as well as intangible.

Thus, when every type of data, including employees, customers, business, infrastructure, etc. are prone to risks, it is crucial to take measures that improve the security layer of a myriad of devices and networks connected through the Internet of Things.

Future of the Internet of Things and Need for Security Enhancement

According to our perception, the future of IoT is invincible. Statista reports say that there will be about 36M connected IoT devices worldwide by 2021. Therefore, businesses from all the industries, including agriculture, healthcare, energy, retail, and oil and gas are set to leverage the future opportunities brought forth by IoT.

With billions of devices connected via IoT, a massive amount of data is generated. However, the lack of effective security protocols increases the susceptibility to hacking. For the seamless and secure functioning of IoT devices, businesses must follow risk-aware approaches and enterprise-grade practices to create a secure infrastructure.

How to Overcome IoT Security Challenges

When IoT was at its nascent stage, security, perhaps, wasn’t a much-focused factor. However, given the IoT security challenges, data breaches, and continually increasing cybercrime, it has become imperative for businesses to embrace IoT security protocols and techniques to ensure improved data security to your valuable data. Below, we have outlined a few tips that you can follow to overcome the IoT security challenges as well as apprehensions.

IoT Security Analytics

IoT app developers usually deploy IoT devices in different environments. Therefore, it necessary to track the activities of various IoT devices using IoT security analytics. This approach helps the businesses in the structured garnering of data generated by a variety of devices and networks connected via IoT. It also easily monitors the behavioral change in data processing and reduces the possibilities of data breaches.

Public Key Infrastructure (PKI)

The growing rate of hacking and data breaches has resulted in a surge in demand for PKI. PKI is a set of protocols on which digital certificates are issued after a registration process. The registration process records devices, users, or identities and allows businesses to spot unidentified users instantly. Thus, you can keep communication channels safe and secure.

Device Authentication

Device authentication is a potent mechanism for the authentication of billions of connected devices. With robust passwords protocols, integration of two-factor authentications, and many other practices, you can analyze as well as scrutinize every device trying to connect to the network.

Secured Internet Network

The network vulnerability is in direct proportion to hacking and can experience DDoS (Distributed Denial-of-Service) attacks, for example. These attacks disrupt the functioning of connected devices and often generate inappropriate or misguiding data. In such cases, a secured internet network must be used at places where IoT devices are implemented and run.

Secured Cloud Platforms

Most businesses use the cloud to store massive data generated by IoT devices. Hence, it is vital to secure the cloud platforms which communicate data with IoT devices. Besides, you should also protect and update passwords at regular intervals, implement provisions to block the account, for a defined timeframe, after multiple failed login attempts. Two-level security features will also add an extra level of security.

Encrypted Security layers

In most cases, IoT devices are not developed with security layers and are highly vulnerable. Thus, it is essential to incorporate encrypted security layers into your IoT device during its development. Also, the devices should be developed with updates operating systems and robust as well as high-performance hardware that secures the entire data exchange process. This would lead to a safe environment for storing and communicating data.

Software Update

In various industries, IoT devices, connected to sensors, are embedded in remote areas to glean data. Therefore, the software update for these devices becomes vital as it protects them from hacking and data breaches. The updated software and firmware also facilitate the incorporation of new features into IoT devices besides helping in identifying and eradicating security bugs.

Conclusion

Whether the nascent cyber laws can deal with cybercriminals or not, the demand for secure IoT products has been continually rising in the maturing market. News reports inform that the IoT security market in North America is anticipated to grow approximately by 25% annually, and this growth will be fueled by continuously increasing demand for IoT device security solutions and cloud-based enterprise apps. Likewise, other regions of the world will also witness a surge in demand for IoT security solutions, depending on the increasing use of IoT devices as well as networks.

A Deep Dive into the Internet of Everything – The Next Big Tech Thing

Posted on January 7, 2020April 28, 2020 by Surbhi Sharma

The advancement in the global web has prompted all-around penetration of virtual connections in real-world objects and activities. Currently, everything can be connected with everything, building a new distributed network that goes beyond the known “Internet of Things” concept. To describe this dynamically changing phenomenon comprehensively, Cisco coined a term – Internet of Everything (IoE) – a technology that has the potential to reshape the tech industry.

Let’s look at the bigger picture of IoE and how it differs from IoT.

The IoE concept is based on the notion of ubiquitous connectivity as well as intelligence. It depicts that smartphones, tablets, and computers do not hinder smart internet connections. Any object can be integrated with digital features and easily connected with the distributed ecosystem of other objects, people, and processes. Thus, the generation and exchange of valuable data and the decision-making process become easier than ever.

What is IoE?

In simple terms, the Internet of Everything is the connection between objects, people, processes, and data merged into a common interrelated network. It aims to improve experiences, make smarter decisions, and deliver value.

Furthermore, IoE represents the world in which a myriad of sensors are incorporated into a myriad of devices, equipment, and ordinary objects, thus providing them expanded networking opportunities and making them smarter.

In businesses, individuals, and governments, the chief purpose of the Internet of Everything is to convert gathered data into actions, facilitate futuristic, data-based decision-making, and offer new capabilities as well as experiences.

Constituent Elements of IoE

Hardware, software, and devices are deemed the critical components of the IoE sphere. However, there are four constituent elements of this technology that make networked connections more relevant and valuable.

People

People use connected devices to deliver insights related to their personal or professional self. This data may include their preferences, interests, personal health, etc. which is analyzed by AI algorithms and other smart technologies to further provide relevant insights that enable them to solve issues and make decisions quickly.

Processes

Different processes like AI, machine learning, or other technologies ensure the delivery of accurate data to the right person or machine at the right time. Since this data is more about insightful information and actions, finding a way to decipher the proper flow of data is the key to leveraging the big data. Precisely, the primary purpose of processes is to make the best use of Big Data.

Data

The data generated by devices is nothing, but once it is combined with analytics and analyzed accurately, it turns into a valuable data that can control various systems, empower smart solutions, and help businesses manage the organization.

Things

Here we come across the IoT concept. Internet of Things is the interconnectivity of various physical items embedded with sensors and actuators. These devices generate data on their status and transfer it to the required destinations across the network.

Internet of Everything vs. Internet of Things

To steer clear of the confusion between IoT and IoE, let’s figure how these terms differ from each other.

The main difference between IoE and IoT is the key components of these terms.

IoT connects physical devices only.
IoE covers four elements, including people, processes, data, and things.

Basically, IoT is the interconnectivity of physical devices that transfer data, while IoT is a broader concept that comprises ample technologies, people, physical devices, and end-nodes.

However, there are many similarities in both of these different terms.

Decentralization –

Networks of IoT and IoE are decentralized and don’t have a single center. Each node or device operates as a small management center and can independently perform various tasks.

Security Issues –

Since the systems of both technologies are distributed in nature, they are highly prone to penetration and cyberattacks. The number of devices is in direct proportion to the susceptibility to breaches.

On the one hand, decentralization allows the network to exchange data even though a couple of nodes malfunction. On the other hand, such distribution results in threats in the form of data security and personal privacy.

The Impact of IoE on Businesses

Internet of Everything is anticipated to reshape the businesses radically. From processes, models to business moments, IoE has the power to transform everything by providing insightful data for critical decision making.

Business Process –

The business process refers to the mechanism of performing an operation like manufacturing process, market strategy, etc. With IoE implementation, you can generate insights to navigate decision making at every step of the business. Besides, a plethora of data sources provides new types of data that can be used to turn qualitative insights into quantitative numbers. For instance, linking an employee’s outcome based on a change in the variable in the work environment.

Business Model –

The way new businesses are emerging is revolutionizing the current way of running a business. For instance, Nike’s health device has reinvented Healthcare practices. Nike is basically a sports and fitness brand. But by embracing smart technologies, it will not only penetrate but also fuel the Healthcare sector. Likewise, the smart cars of Google will transform the automobile industry.

Business Moment –

The Business moment is indispensable to race with the agility and speed in accordance with the pace of the data generation. With IoE, you can add sensors and data sources to the currently available data, which will bring forth opportunities to rapidly generate insights for your business. However, with the availability comes the complexity. Businesses will strive to leverage this data faster than their competitors, resulting in agile and quick decision making.

Examples of IoE

Practically, every industry can integrate an IoE model into its operations and yield enormous benefits. Some of the cases are:

The municipal sector can employ smart water and electricity meters to monitor consumption rates in residents and commercial organizations and make futuristic decisions related to economy and cost-cutting.

The manufacturing companies can integrate predictive maintenance sensors into production to examine the parts of machines that need to be fixed or replaced. This eliminates downtime and reduces fixing costs extensively.

Logistics and delivery business can exploit sensors and smart devices to optimize delivery conditions and routing. Eventually, organizations can boost end-user satisfaction.

Closing Thoughts

At one fell swoop, digitalization fosters the development of a myriad of smart and automated hardware pieces. With the growing range of IoE appliances, industries are inevitably disrupting.

In the foreseeable future, we are definitely going to experience the ubiquitous connectivity of everything. It won’t only help you to change the way you run a business but also enable you to provide better services and manufacture better products.

To garner in-depth knowledge of IoE or IoT, approach our experts.

A Comprehensive Guide to Mesh Network in IoT – An Expert’s Take

Posted on December 27, 2019April 28, 2020 by Abhishek Kalyan

Earlier, establishing connections beyond a single point was a strenuous task. It used to require high-cost hardware solutions and software implementations to connect in-between spaces needed for device-to-device communication. With the advancement of IoT platforms, IoT app developers have started to adopt a low-cost, low-power approach i.e., Wireless mesh networks, to bridge the gap between these devices.

What is a Wireless Mesh Network?

In a mesh network, infrastructure nodes are connected wirelessly. These nodes further connect to a host of other nodes to facilitate data communication. Since every device has at least two ways to transfer data, the whole network doesn’t have to rely on a single node only.

On the contrary, the conventional star network is a way in which all the devices are directly connected to the gateway. Thus, the whole structure becomes very dependent and prone to connection failures. Besides, the crash in one node connection impedes the data transfer in the entire network.

Therefore, businesses are more likely to rely on a mesh network instead of a star network.

Working of a Mesh Network

Depending upon the standard type used in a mesh network, 2-4 different components come in handy.

Nodes –

Every mesh network has nodes i.e., the devices that communicate data with each other.

Gateway –

Gateway not only allows devices to transfer data in the network but also provides a backhaul to the internet for the local mesh network.

Repeater –

In the case of wifi type of mesh network, there are repeaters that maintain internet signal and forward messages between endpoints.

Endpoint –

Endpoints are mesh-only devices that don’t route messages for other devices, but send them to other nodes. That’s why they are referred to as endpoints. Specifically, they have no networking responsibilities, can enter sleep mode, and are excellent components for battery-powered nodes and sensors.

Mesh network for IoT devices transfers data in two ways: Flooding or Routing. In Flooding, all the nodes act as a data broadcaster. Thus, this technique expedites data communication. However, Flooding is an energy-consuming approach.

At the same time, routing chooses one path and transfers the data package from node to node until it reaches the endpoint. Unlike flooding, routing sends data to one node at a time. It chooses another route only when the connection in the first route breaks. Furthermore, to ensure efficiency, the mesh network adopts Shortest Path Bridging i.e., SPB or IEEE 802.1aq algorithm, to transfer data via the shortest route available.

Types of Mesh Network

In a mesh network for IoT devices, IoT app developers can connect devices in two ways: Full Mesh Network or Partial Mesh Network.

Full mesh network requires end-to-end connection among every device, router, or switch to provide a high degree of redundancy and efficiency. Besides, it facilitates data package communication by single-link.

On the other hand, in a partial mesh network, devices are not directly connected to each other. But still, each device is connected to at least two other nodes. So, this type of mesh network enables rapid data transfer from one node to the other.

Benefits of Mesh Network in IoT

Mesh Network for IoT devices offers enormous benefits that make it sought-after in enterprises and significant in an IoT app development company.

Self-healing

Like Shortest Path Bridging, Self-healing algorithm automatically chooses the best path to transfer data even if a few nodes lose connection. Specifically, it uses only those connections that are available and working to maintain the task.

Self-configuring

Due to auto-discovery, mesh networks are self-configuring in nature. Hence, the new nodes calibrate automatically and connect to the network without any previous setup. Consequently, network administration and expansion become easier in mesh networking.

Scalability and Reliability

In a mesh network, it is way easy to add or remove nodes without any efficiency issue. Usually, issues are in proportion to the devices. However, it is quite the opposite in the case of a mesh network. Adding nodes in a mesh network provides more routes in which data package can travel, which makes the network faster, reliable, and error-resistant.

Cost Reduction

Since mesh networks don’t require internet connection, it consumes ultra-little energy. Meanwhile, sensors are pocket-friendly and long-lasting.

Besides, IoT implementation reduces expenses in many other ways like better management, optimization of resources usage, and more.

Drawbacks of Mesh Network in IoT

Though there are ample benefits of a mesh network, it also comes with a few drawbacks. So, it is essential to gain in-depth knowledge of this network before deciding whether a mesh network is a perfect fit for you.

Low Capacity

Mesh network is the best way of sending small data packages. Unfortunately, it doesn’t perform well while transferring video file sized data.

Still, if transferring a large amount of data is compulsory, then the wifi mesh network would be a better option.

Latency

Actively switching from one node to another can decelerate the data receiving process. However, it is not an issue when your system requires a package every few minutes or so. But, it might be not enough for a few systems.

Conversely, a full mesh network can accelerate the data transfer by connecting every node to one another.

Maintenance

Due to the self-healing ability of the mesh network, finding a non-working node might be time-consuming. Also, we won’t come to know if a node is having an issue.

On the other hand, mesh networks for IoT devices are established to make the IoT system smarter and more efficient. So, the nodes are less prone to crash.

Where IoT Mesh Network Can be Used

With new technologies, wireless mesh networking has reached a point of maturity and become ideal for IoT app developers. Besides, the elevation of connected homes and industry support on open-source resources has made mesh truly accessible and low-cost. They are also regarded as much more viable and real choice for commercial as well as industrial IoT apps. At the same time, it can render extra services in a system where extending a two-node connection is limited.

Smart Cities –

A wireless mesh network is the best for extending radio signals through campus grounds, business parks, parking garages, and other outdoor facilities. Besides extending signals throughout the whole space, it can be able to send a message when a spot is occupied. Thus, areas like parking garages that need space availability checkers significantly benefit from a mesh network.

Healthcare Equipment –

A mesh network can facilitate monitoring and locating medical equipment. It can also serve as a backup for medical devices that always require to stay online. Thus, if one node crashes and loses connectivity, another node can step in to maintain the connection.

Smart Home –

You can track and manage temperature across your home using a wireless mesh network. You can also capture live data and adjust settings automatically by setting up one powered gateway, sensors, and mesh-enabled nodes in each room.

Farming –

Mesh networking is the best way to track sun exposure and water levels across the crops and fields. Additionally, you can create a cellular-connected IoT platform by building a mesh network across a whole acreage with the help of an IoT app development company.

Is Wireless Mesh Networking Right for You?

Before choosing a mesh network for your IoT project, you must take three core variables into account: installation, device management, and support.

Installation –

Installation of mesh network depends on your intended app. You need to figure out if you need a distributed set of mesh nodes for your project. Furthermore, if you plan to deploy mesh for industrial or commercial apps, set up a small-scale mesh network to discover the system efficiency before implementing a large-scale mesh network system.

Device Management –

A mesh-enabled IoT solution allows you to manage fleets of devices, perform diagnostics, monitor event logs, and send updates wirelessly.

Support –

Before investing in a mesh solution, it is a wise idea to take the community surrounding it into consideration. Mesh networks with limited adoption have fewer resources available to help you in development.

The Bottom Line

Mesh Network is an essential component for IoT infrastructure as it allows devices to cover more area as well as garner more data. If you are planning to incorporate wireless mesh network into your IoT architecture, examine the entire IoT system, instead of a single component.

Besides, to build an end-to-end IoT product, you need to integrate hardware, software, connectivity, and research IoT platforms that can provide these components.

With this in mind, we suggest consulting experienced IoT app developers who can help you to scope these three complexities and develop a high-quality IoT product.

7 Best IoT Platforms Most Businesses Incline Toward

Posted on December 19, 2019April 28, 2020 by Abhishek Kalyan

The market of IoT platforms is making headway gradually, and it is expected to rake in a massive value of $74.44B globally by 2023. The reason behind the expansion of this market is the proliferation in the IoT devices and their correlated components. These devices and components need a facilitator – IoT Platform – to seamlessly communicate in the same environment and create maximum business value.

What is an IoT Platform?

IoT platform is a middleware solution that acts as a connector between the IoT devices and the cloud. It facilitates data exchange over the network and also connects the application layer to the hardware.

Currently, there are a plethora of IoT platforms in the market, each having its own significance in making IoT integration as well as management simpler and scalable. A reliable IoT development company counts on 7 IoT platforms for successful IoT implementation.

Microsoft Azure IoT Platform

It is an open-source, cloud-based suite that assists in bringing local intelligence to the shared/distributed IoT. This platform has virtual tools that offer a flexible and configurable computing environment. These tools can be easily be resized according to the workload.

To leverage the Azure IoT platform, the user has to pass the commands over Microsoft Azure PowerShell in order to start or stop the server as well as writing operations. However, this suite doesn’t offer any management.

Features:

Supports instant IoT-enabled device registry that generates a unique identity for each device
Provides a cloud-based dashboard to offer immediate access to data across apps and devices
Enables real-time analytics streaming for the betterment of decision-making ability
Offers remote monitoring solution to keep a tab of apps and devices
Smoothens continuous data monitoring for actionable insights

AWS IoT Platform

AWS platform not only allows device connectivity to the cloud but also secures the integration of apps available on cloud and other devices. The merit of this platform is that it enables apps to analyze devices and facilitates 24*7 communication between them, without the need for an internet connection.

Features:

Supports instant device and app connectivity and helps in exchanging authentic messages using HTTP or MQTT, or WebSockets protocols
Provides a message broker that enables data communication between apps and devices with low latency
Offers a device gateway to deal with all the connected device without maintaining infrastructure
Gives a unique identity to devices to track metadata of connected systems
Encrypts data exchange through authentication at every step

Google Cloud IoT Platform

It provides a comprehensive toolset to connect, process, save, and monitor data in the cloud and at the edge. Google provides fully-managed, scalable cloud services for on-premise/edge computing apps using the platform. This IoT platform also offers expanded AI capabilities to edge devices with Cloud IoT Edge. Besides, it identifies the device operations efficiency and performs firmware updates. Also, take note that only a few programming languages support app development on this IoT platform, while Google offers most tech-components.

Features:

Supports device’s predictive maintenance and improves equipment efficiency in real-time
Stores gathered data, performs complex analytics, and shows the connected device’s status
Provides massive storage and reduces server maintenance cost
Tracks location and condition of devices continuously
Enables integration with other Google services
Manages pricing on a per-minute basis
Facilitates big data analysis

IBM Watson IoT Platform

It is a PaaS-based development Platform launched by IBM. This platform provides simple solutions for IoT app development services and makes it accessible for a novice. Moreover, it offers secure communication, real-time data exchange, and data sensor as well as weather data service. It has the potential to handle massive data and render improved customer service.

Features:

Provides an open container architecture that offers convenient migration of workload to the cloud
Analyzes unstructured data and comprehend the data-pattern to gain valuable insights
Develops and connects devices to apps on the cloud seamlessly
Provides dashboard for enhanced visualization

Cumulocity IoT Platform

It is an independent device and app management IoT platform, which enhances visibility and provides improved control over remote assets. Being an end-to-end cloud enablement platform, it makes data and asset management convenient for enterprises.

Features:

Monitors data analytics in real-time by offering customizable dashboards
Improves the existing services with simple workflow integrations
Connects devices over any network with a plug-n-play approach
Facilitates access through mobile, laptops, and desktops

Oracle IoT Platform

This platform offers endpoint management, real-time data analysis, and fast-paced messaging to send real-time alerts directly to user devices. It is Platform as a service-based cloud computing suite that facilitates device connectivity with the cloud and data monitoring from the devices to provide real-time insights and incorporate data with real-time web, application service, or Oracle Cloud services.

Features:

Supports bi-direction communication between and the connected devices and the apps on the cloud
Stores device’s metadata to comprehend the attributes, capabilities, and lifecycle of the connected devices
Renders Oracle BI Cloud Service Support with enhanced data visualization
Supports Big Data analysis

Cisco IoT Cloud Connect

This is a cloud-based, mobile platform that renders solutions for mobile operators and offers flexible deployment options for IoT devices. The key focus of this suite is data and voice connectivity, while Cisco Kinetic ensures the security of this platform. It also extracts IoT data from the components or devices connected to the IoT network to normalize it so that apps can use it. Additionally, this platform applies rules to the data in motion for the improvement of the decision-making ability of the enterprises.

Features:

Supports data computation in a shared network that ensures optimal use of resources in the network
Provides a cloud-based dashboard that offers better control and view of the IoT gateways
Enable free data flow between the connected devices and the app based on cloud
Provides real-time information and updates

IoT Platforms Driving Business Growth

IoT platforms play a significant role in creating business value and fueling their growth. But, they must tread carefully to choose the best one by taking factors like service provider’s SDK richness, support, documentation, and API interface into account. They should also assess the IoT protocols for billing base, message size limitations, and multi-tenancy support.

Be it choosing an IoT platform or availing IoT app development services, it is essential to analyze the nature and objectives of your business. You can also consult with the experts of a renowned IoT development company to help you find the best IoT platform and navigate your IoT implementation journey.

How IoT Protocols Secure Data Exchange in the IoT Sphere

Posted on December 10, 2019April 28, 2020 by Abhishek Kalyan

With the continuously increasing number of IoT devices, cases of DDoS attacks are also being witnessed frequently. According to a Statista report, the number of connected devices will reach about 31B by 2020. Thus, this is the time when businesses, customers, stakeholders, and IoT app developers should garner knowledge about IoT protocols that can significantly hold the chances of security breaches at bay.

A Comprehensive Guide to IoT Protocols

IoT protocols are modes of communication that ensure end-to-end security of the data exchange between connected devices.

Basically, the IoT devices are connected to the cloud through an IP network. However, Bluetooth and RFID devices allow IoT systems to connect locally. In both cases, there is a difference in range, power, and memory consumption. IP network connectivity is relatively complicated, requires more power and memory from the IoT devices while the range is not an issue. On the contrast, non-IP networks need less memory and power and are limited to a specific range. As far as the IoT protocols are concerned, a blend of IP and non-IP networks can be considered as per to their usage.

IoT protocols can be classified into two different categories. Let’s have a look at them.

1.) IoT Network Protocols

IoT network protocols are the set of communication protocols used to connect devices and ensure secure data exchange within the scope of the network. Some of the IoT network protocols are:

HTTP (HyperText Transfer Protocol)

HyperText Transfer Protocol has built the foundation of data transmission over the web. This protocol is commonly used for IoT devices when there is a massive amount of data to be published. However, HTTP is not the first choice of most IoT app developers because of its battery life, cost, energy consumed, and many other constraints.

3D Printing is one of the best use cases of the HyperText Transfer Protocol. It connects computers to the 3D printers over the network and enables systems to print 3D objects and pre-determined process prototypes.

LoRaWan (Long Range Wide Area Network)

LoRaWan is a low-power, long-range protocol that offers signals detection below the noise level. It connects battery-powered devices to the internet, wirelessly in private or global networks. This protocol is mainly used by smart cities, where there a myriad of devices that operate with less power and memory.

Smart street lighting is the most significant use case of the LoRaWan protocol. This protocol facilitates the connection of street lights to the LoRa gateway. The LoRa gateway further connects to the cloud app that controls the intensity of light bulbs and reduces power consumption during the daytime.

Bluetooth

Bluetooth is an extensively used protocol for wireless, short-range, low-cost, low-power, and secure data exchange between electronic devices. Bluetooth Low Energy (BLE) is a subset of this protocol that cuts down power consumption and plays a significant role in connecting IoT devices.

Bluetooth protocol is mostly used in smartphones, smart wearables, and other devices, where small chunks of data can be communicated with low energy and memory consumption. With such high usage and demand, Bluetooth is deemed the most preferred IoT connectivity protocols by every IoT development company.

ZigBee

ZigBee protocol enables smart objects to work in tandem and is generally used in home automation. Well-known for industrial settings, ZigBee is integrated into applications that support low-rate data exchange over a short distance.

ZigBee protocol is used in electric meters and street lights in urban areas, which provide low-power consumption. It is also used with security systems.

2.) IoT Data Protocols

IoT data protocols provide point-to-point data exchange with the hardware at the user side, with no need for internet connectivity. IoT data protocols connectivity takes place via a wired or a cellular network. The key IoT data protocols are:

Message Queue Telemetry Transport (MQTT)

MQTT protocol gathers data from multiple electronic devices and supports remote device monitoring. It is a publish/subscribe protocol that operates over TCP (Transmission Control Protocol), enabling it to support event-driven data communication via wireless networks.

MTQQ is mainly used in economical devices and demands less power as well as memory. For example, smartwatches, fire detectors, car sensors, and apps for text-based messaging.

Constrained Application Protocol (CoAP)

CoAp is an internet-utility protocol for restricted devices. This allows the client to send a request to the server, and then the server can respond to the clients in HTTP. CoAP uses User Datagram Protocol (UDP) and reduces memory consumption for light-weight implementation.

Constrained Application Protocol is chiefly used in mobiles, automation, and microcontrollers. It sends a request to the app endpoints like appliances at homes and reverts resources and services in the application.

Advanced Message Queuing Protocol (AMQP)

This is a software layer protocol for message-oriented middleware infrastructure that renders queuing and routing. AMQP provides reliable point-to-point connections and ensures secure data exchange between the connected devices and the cloud. This protocol comprises three components, named Message Queue, Exchange, and Binding, responsible for seamless, secure, and successful message exchange and storage. It also facilitates the relationship establishment of one message with another.

AMQP is mostly used in the banking sector. When a server sends a message, the protocol tracks it until is it is delivered to the destinations without hindrance.

Machine-to-Machine (M2M) Protocol

M2M is an open industry protocol accountable for remote application management of IoT devices. This protocol uses public networks and creates an environment where a machine can easily exchange data. Besides, it supports the self-monitoring of equipment and facilitates system adaptability to match with the changing environment.

M2M protocol is used for automated vehicle authentication, smart homes, ATM machines, and vending machines.

Extensible Messaging and Presence Protocol (XMPP)

The XMPP is designed in a unique way and runs on a push mechanism to communicate data in real-time. It is a flexible protocol and can easily integrate with the changes. XMPP operates as a presence indicator and shows the availability status of the devices or servers exchanging messages.

Apart from instant messaging applications like WhatsApp and Google Talk, XMPP is used on news websites, online gaming, and Voice over Internet Protocol (VoIP).

Final Words

According to the Economic Times, over 32,000 smart homes and businesses are at risk of data leakage. Knowing and exploring the potential of the afore-mentioned IoT protocols will help you to create a secure environment for communicating data with the cloud.

Since choosing an appropriate type of connectivity and protocol is an inevitable aspect for a successful IoT project, we suggest to consult the experts of a smart IoT Development Company. They will navigate you in your IoT project journey right from ideation and conceptualization to development and deployment.