INTERNET OF THINGS AND APPLICATIONS
The emergence and rise of the Internet of Things (IoT) promises to revolutionize the way humans lead their lives by connecting all the devices that we possibly use to a common network, the Internet. Some of these devices include sensors, home appliances, health monitoring devices, and any device that produces quantifiable data. This concept has given birth to unlimited application areas that use the interactions between humans and devices to build inferences and make predictions for improving the quality of life and optimizing the use of existing resources.
A recent survey of McKinsey has shown that the number of deployed IoT devices is expected to reach one trillion by 2025. Moreover, the economic impact of this technology on the world economy can be assessed from the fact that it is expected to capture 11% of the same by the end of 2025.
With that said, Internet of Things, as a technological paradigm, suffers from several challenges that must be addressed before its vision can be realized. Some of the evident challenges include identification and development of architectures that can meet the scalability requirements of the IoT ecosystem. Data and resource management along with the need to maintain the security and privacy of the system also remain prevalent, in addition to several others.
All the devices that fall under the umbrella of the Internet of Things are commonly referred to as smart devices. Therefore, the concept of IoT acquires and integrates data from these smart devices. Furthermore, this data is stored and processed to generate useful analytics. The vision of IoT is to visualize the world as a collection of connected entities. The most obvious application of such a paradigm is smart city as the connected nature of the city is expected to make resource management simpler. Among other applications of IoT, healthcare and infrastructure management are frontrunners because of their need for real-time solutions in critical scenarios. In addition, there are a plethora of applications that can be developed and commercialized for human use.
The objective of this book is to explore the concepts and applications related to the Internet of Things with the vision to identify and address existing challenges. Besides this, it shall also provide future research directions in this domain. This book is meant for students, practitioners, industry professionals, researchers, and vi faculty working in the field of Internet of Things and its integration with other technologies to develop integrated, comprehensive solutions to real-life problems. Part I introduces the basic concept of the Internet of Things and provide an insight into other parts of the book and what they are expected to cover. In order to implement Internet of Things solutions, the architecture must support the specific requirements of such applications.
These requirements include scalability, transition from closed platforms to open platforms, and designing of protocols for interaction at different levels. This part also covers the architectural issues and available solutions related to IoT. Once the architectural issues are discussed and elaborated upon, the next part is expected to cover the solutions available in this domain for elemental IoT processes like data and device management. The heart of the IoT ecosystem is a smart device and the programming framework that uses the data made available by the smart device to create useful insights. Part II covers components that allow development of solutions and applications using the IoT paradigm. The concept of the Internet of Things has just hit the shore.
There are a number of challenges and limitations that need to be mitigated to make this technology workable and usable across diverse domains. Some of the identified challenges include security, robustness, reliability, privacy, identity management, and designing of management policies to ensure smooth functioning. Part III covers the different aspects of IoT challenges and devised solutions for the same. The emergence and growing popularity of the Internet of Things has given rise to the identification of many areas where it can be put to use.
Some of the obvious applications of this paradigm include social computing, mobile computing, crowd sensing, and crowd sourcing. Part IV includes chapters that have implemented IoT to create applications for these domains. Smart cities is the most popular application of IoT and uses the same in conjunction with other technologies like cloud computing and big data.
Smart cities is a large domain of applications that include domains like healthcare, logistics, manufacturing, and agriculture, in addition to many others. Part V includes chapters that explore the different facets of smart cities and solutions created for the same.
Next-generation smart applications make use of many state-of-the-art technologies like machine learning, computer vision, and artificial intelligence in conjunction with the Internet of Things (IoT). Moreover, deep learning has also found many integrative applications with IoT. These applications are popularly termed as cognitive IoT applications and promise to serve a wide range of areas and domains like healthcare, logistics, smart cities, and supply chain.
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