Abstract

During this current decade, the most familiar technology that is creating a standard in the world is the Internet of Things (IoT). The IoT is the inter-networking of physical things, mobile systems, buildings, and other objects which are embedded with electronic processors, sensors, actuators, and network connectivity devices that enable these things to transfer data between them via the Internet. The IoT is an interdisciplinary research domain that involves computer science and electronic engineering principles. The major research focus is on the design and development of hardware and software systems that will make IoT-enabled systems intelligent and secure. This is possible by incorporating artificial intelligence, machine learning, and Internet concepts while developing intelligent IoT systems. Since research in IoT applications is the amalgamation of embedded electronics, sensor technology, networking, cloud computing, artificial intelligence, data analytics, and other technologies, it will become a good area for interdisciplinary research for both academics and industrial people. At the outset there are a lot of new methodologies and findings that have evolved with this IoT research, and these outcomes give better solutions in the areas of smart environments, IoT services, intelligent systems, smart health, smart homes, smart agriculture, networking protocols, communication protocols, and autonomous industrial applications. Hence the research direction in IoT applications is definitely a challenge for academic researchers and industrial developers. The major challenges are in identification technology, choosing an IoT architecture technology, and establishing networks and communication technologies for the specific research problem. In this chapter the authors attempt to depict all such challenges by focusing on these IoT-enabled topics and throw light on these issues for new researchers who are entering this domain.

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