There are many opportunities for IoT application development. IoT development is complex and so because of this many companies are there whose establishment was unsuccessful.
However, the IoT application plays a very important role in everyone's life and make the job every people easy. So many companies are there who are trying to implement this technology. The cost for the development of IoT applications depends on the features. However, it is not very easy to develop a perfect and successful IoT app as there are many challenges faced during the development process.
Challenges during the development of IoT app
The challenges for developing an IoT app are given below-
Privacy and security- Privacy as well as security can e considered to be one of the controversial issues related to IoT app development yet the challenge is very significant. However, it is very important to know that security is not only about the security of network but it is also about the security of components involved in IoT application development. The applications are basically backed by a network that plays an important role in connecting the software and hardware components along with the involvement of a huge amount of traveling of data. The traveling of data takes place via a number of connected devices that interfere with the user's personal space. As there is a huge amount of data that is online and so chances of cyber threats and hacking are also more. So security is always considered to be a major challenge when a developer is developing an IoT application.
Some of the other things that must be kept into consideration while you are developing any IoT app are-
- Physical security- The devices of IoT are basically unattended and so the hackers are able to tamper that device very easily. So it is always a challenge to check whether the component of security is added to the IoT devices or not.
- Cloud storage- Everyone knows that the cloud storage is a secured place but still the IoT developers have to ensure that the encryption of the IoT platform is done properly. Moreover, proper authorization and access are also to be taken care of.
- Data exchange- The transferring of data from IoT devices and sensors to a gateway or a platform and then storing that data in the cloud is a tough work where security is essential. So the developers must pay great attention to see that the protocol of data encryption is followed while the development of the IoT app is taking place.
- Privacy updates- There are always rules and regulations for the data which are fetched by the IoT devices. For example, it is known that all the fitness trackers make a collection of user data depending on the guidelines of HIPAA. So it can be said that there are certain regulations for data that are stored in the cloud. So if the app is complying with the regulation then the privacy of the data is ensured.
Connectivity-
The essence of developing IoT applications is the real-time transmission data. Because of the latency as well as poor connectivity, this is a very important difficulty or challenge which a developer has to face. Useful front-end information that is provided by connected devices is very important. So the poor connectivity is basically a challenging factor when there is a requirement of IoT sensors for monitoring, supplying information, and also processing data. There are many huge companies that are unable to perform because of the server breakdown. When you are connecting devices, connectivity can be considered to be the most important concern. The addressing of this challenge can take place in the environment of device and design application. It is possible to connect the printer with a laptop or mobiles through wifi but in case of establishing a connection for smart vehicles, internet connection is very essential. So the developers must have a good understanding of the features and function of devices. In order to make sure that the platforms as well as IoT devices are performing well it is essential that the connectivity is good.
Cross-platform compatibility- In order to develop the perfect IoT app the changes of the future technology must be kept in mind. In order to do all this a good balance between the software and hardware is essential. The team of developers must pay good attention to development as well as on the product update. So it is a challenge for the developers as they have to ensure that the IoT platforms and devices are giving perfect performance instead of heavy bug fixing, device update, and operating system.
The integration of the legacy system and IoT application makes the job of developers difficult to mee the standard and protocol of the industry. The developers must also look into the matter that there is no increase in difficulties in the ecosystem of IoT.
Read the blog- Merge of AI and IoT is an great tool whether you apply it in edge or cloud computing
Processing and Data collection- There is an involvement of a huge amount of data and so data processing and collection act as a challenge to the developers. Not only privacy and security, the developers also have to take care of the plan for storing, processing, and collecting data that is taking place within the environment. In order to ensure the storing of data in the cloud and complying with the requirement of platform analytic engineers, data experts and machine learning resources must be employed for getting insights from data that is stored in the cloud.
Data is very important in the case of IoT app development but the most important of all is the storing as well as the processing of data.
Lack of skill set- The above challenges can be faced only if there is a correct skilled resource working for developing IoT applications. IoT depends on the resources that have ideas about software as well as hardware implementations. If the talent is right then it will surely help you in getting through all the challenges. So you have to choose the perfect mobile app development services to face all these challenges.
As you have known about all the challenges for developing an IoT app, you must have some idea about the IoT framework.
What is the IoT framework?
Till now you have known about the challenges and from there you have got some idea about IoT that it is not just a single element. It is basically an ecosystem that is an infrastructure of devices that are connected with each other for communicating with the help of the internet. Many blockchain development companiesalso prefer IoT frameworks. IoT framework is basically that component that help in the seamless transmission of data. The components of the IoT framework are-
- Cloud application.
- Software application.
- Hardware devices.
- Cloud and communication platform.
Few IoT frameworks
There are many frameworks for IoT but some of the popular and common frameworks are given below-
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KAA IoT-
This framework is considered to be one of the rich as well as an open-source platform. Here anyone can materialize their concept of smart product in a freeway. With the help of cross-device interoperability, it is possible to establish an unlimited connection of devices. Real-time device monitoring is also possible with the help of remote device configuration and provisioning. This platform is the most flexible of all and is also very scalable, fast, and modern.
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MACCHINA.io-
This platform is generally web-enabled. The platform also provides an extensible and modular run-time environment for C++ as well as Java in order to develop the gateway application of IoT. A wide variety of technologies as well as sensors are supported by these platforms and they are Xbee, Tinkerforge, Bricklets, and others including accelerometers. This platform is having the capability of developing and deploying device software for V2X and automotive telematics, home and building automation, IoT gateways and computing of industrial edge, energy management system, and finally smart sensors.
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ZETTA-
This platform is generally server-oriented. It is built around REST, NodeJS, and reactive programming development which is flow-based and linked with the APIs of Siren hypermedia. After the abstraction of REST APIs, they are connected with the services of the cloud. These services of cloud generally include visualization tool as well as supporting tool for machine analytics like Splunk. A geo-distributed network is created with the help of endpoints connections like Arduino hacker and Linux boarding with Heroku like platforms.
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GE PREDIX-
This is a service platform that is basically based on the cloud foundry. It adds device security as well as real-time, asset management, predictive analytics that play a role in supporting the acquisition of heterogeneous data, accessing it, and also storing it. The development for this platform took place by GE and that was also for their own operations but later on, it became popular with the IoT platform. The future is better as they are partnered with HPE and GE.
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ThingSpeak-
This is also another platform which will also help the developer in visualizing as well as analyzing the data in MATLAB and eliminating the need for buying a license for it. It also helps in collecting and storing the sensor data in channels which are basically private. However, the storing may be private but you have the freedom of sharing them in public. It works with particle photon and electron, Arduino, and many other applications. There is also a worldwide community for this platform which acts as a helpful thing for the developers who are joining new.
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DeviceHive-
This is also an open-source platform for IoT solution development. The distribution of this platform is under the Apache version 2.0. The platform is free to change as well as use. Deployment of Kubernetes and Docker is also provided along with both downloading and using it with both private and public clouds. Running of batch analytics is possible through this platform and machine learning is also possible. DeviceHive is special and preferred by developers as this IoT platform is having many libraries including iOS and Android libraries.
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Eclipse-
The building of this platform took place around OSGI or Java which is based on the Kura API container. Eurotech's everywhere cloud framework is the main source for developing the Kura framework. This Kura framework is often having integration with the Apache Camel. Some of the important sub-projects are the Eclipse SmartHome framework and PAho messaging protocol framework.
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OpenHAB -
Any device that is having the capability of running JVM can also run OpenHAB. A modular stack is the reason for the abstraction of IoT technologies and also offering scripts, supports, and rules for persistence which the ability for retaining the state of the device for a certain period of time. Different types of UIs which are web-based is offered by OpenHAB. The supporting also takes place by major boards of Linux hackers. The deployment takes place in premise and the connection to services and devices takes place through different vendors.
Read the blog- Azure IoT Edge - An Extension Of Azure IoT Hub At The Edge
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DSA-
DSA stands for Distributed Services architecture. This is also an open-source platform for developing IoT. It unifies services, devices, and also applications. This unifying takes place in real-time and structured data model which facilitates decentralized device logic, inter-communication, and applications. The links for distributed services is basically a community library which helps in allowing data integration as well as protocol translation to the third-party data sources and also getting back from them. As the models are lightweight they are more flexible for use. An in-built hardware integration support is there and it also helps in the implementation of DSA query DSL.
Conclusion
So the challenges, as well as basic knowledge about the IoT frameworks, are given. This will surely help you in getting a basic knowledge of IoT. If you want to develop an IoT application you must be wise to choose the perfect developer for your project. There are many PWA development companies that will help you in guiding through the development of your IoT app.
