Role of Edge Analytics in Sustainable Smart City Development: Challenges and Solutions (Next Generation Computing and Communication Engineering) - Hardcover

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G. R. Kanagachidambaresan received his PhD from Anna University Chennai in 2017. He is currently an associate professor in the Department of Computer Science Engineering, Veltech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, India. His main research interests include Industry 4.0, smart city projects, Body Sensor Network and Fault Tolerant Wireless Sensor Network. He has published several articles in SCI journals and is an associate editor of Wireless Networks.

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This book addresses the recent real time challenges faced in sustainable smart city development and provides novel solutions to such problems.

Smart cities are tasked to adopt new technologies for resources and infrastructure such as water management, grid system, transport system and health care industries. The challenge is to provide the experience and facilities in an economic way and to reach all levels of society in the cities. The rapid growth of technology and new smart city development initiatives have made Internet of Things and Edge analytics an inevitable platform for all engineering domains. The need of sophisticated and ambient environment has resulted in an exponential growth of automation, robustness and artificial intelligence. The involvement of multi-domain technology creates new problems, making the development a challenging undertaking for researchers.

Role of Edge Analytics in Sustainable Smart City Development comprising 16 chapters written by subject matter experts, deeply discusses the challenges such as the applications of IoT in digital twin development, health care, traffic analysis, home surveillance, intelligent agriculture monitoring, problems in smart grid, data management in cloud system, security concerns and algorithms for edge devices' defense. All these common day-to-day activities have resulted in pioneering embedded devices offering high computational facilities without much latency and delay. Along with addressing these issues, the book provides many solutions. It also provides a novel literature survey to show a path for researchers new to Edge analytics and expert systems.

Audience

The book will be used by electrical and computer science engineers who are working on Industry 4.0 standards, Internet of Things, mechatronics, nanotechnology, sensors, transportation, artificial intelligence, Edge analytics and expert systems. The book can also be used in post-graduate courses.