Major Applications and Issues in Internet of Things

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We used to call a person as a smart one. Since last few years, because of great success of Artificial Intelligence and Internet of Things, it is possible to call a device as a smart device and in general it is possible to make any real-time entity in the world, a smart one, usually call a smart object or smart thing. The smart object or smart thing is the building block of the Internet of Things. These objects are not only able to collect information from the its environment and interact with physical world, but also to be interconnected, to each other, through Internet to exchange data and information.

The expected huge number of interconnected devices and the significant amount of available data open new opportunities to create services that will bring tangible benefits to the society, environment, economy and individual citizens. There number of application areas where there is opportunity to create IoT services, that brings tangible benefits. Implementing issues should be considered appropriately. This article throws light on major applications and issues in Internet of Things.

1. Applications of Internet of Things

Government of various countries, industries across the world and many research organisations are complicatedly working on design and development of various applications and products useful to the society in different domain like:

  • Pharmaceuticals: Intelligent tags for drugs, Drug usage tracking. Pharmaceuticals Product websites enable the emergency treatment to be given faster and more correct.

  • School Administration: Attendance Management, Voting System, Automatic Feedback Loops Instructional technology, etc.

  • Retail and Shopping Mall: Intelligent shopping, Bar code in retail, Electronic tags, etc

  • Management: Data management, Waste management, Urban planning, Production management, etc

  • Logistics: Warehouse management, Inventory control, Port management (Ships, boats, containers), etc.

  • Food: Control geographical origin, Food production management, Nutrition calculations, Prevent overproduction and shortage, Control food quality, health and safety.

2. Internet of Things Issues

          • How to implement security and privacy safeguards?

As, all devices are connected via Internet. The security and privacy issues surrounding Internet of Things are so immense that they’re almost overwhelming. Tools and systems are needed for monitoring and detecting threats.

          • How to have device naming and organisation?

Will people use Domain Name System (DNS) for naming. Then there is no need of creating new protocols to resolve those names. We can rely on years of industry experience and expertise.

          • Communicate of devices with each other?

Connected devices requires Common model/protocols so that they rely on the manufacturer’s cloud-based servers to function. Means thermostat at home doesn’t need a name. It’s a client and only needs to know how to phone home to the cloud.

          • Tracking and monitoring of devices?

There tremendous applications of IoT and how to track these devices, ensuring these billions of “things” are up is a challenging task? What will be best practices for monitoring for seized or outages?

          • How services and devices are optimised for performance?

Billions of devices will be sending large amount of data and become an increasing stress on the network. How will companies and consumers ensure that they are getting best performance? What way one can makers ensure the performance of their devices is optimised?

          • Maintenance of devices?

Flooding of billions of new devices on Internet will definitely lead to critical issue of maintenance. What does that do to the tools, devices and Internet’s ability to deal with malicious actors?. Performance and optimization issues across the Internet need to be identified and resolved.

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Dr R M Makwana
Dr. Makwana is Ph.D. in Computer Engineering, specialized in Artificial Intelligence from Sardar Patel University, Anand, Gujarat, India. Accelerated career growth from lecturer to professor in short span, having teaching experience of more than 13 years. He is TechSavvy with Research interest in Artificial Intelligence, Image Processing, Computer Vision, and Internet of Things. Actively supporting research community by providing service as a member of technical program committees of national and international conferences and workshops, as well as by reviewing journal and conference papers.

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