Efficient Single Board Computers (SBCs) and advanced VLSI systems have resulted in edge analytics and faster decision making. The QoS parameters like energy, delay, reliability, security, and throughput should be improved on seeking better intelligent expert systems. The resource constraints in the Edge devices, challenges the researchers to meet the required QoS. Since these devices and components work in a remote unattended environment, an optimum methodology to improve its lifetime has become mandatory. Continuous monitoring of events is mandatory to avoid tragic situations; it can only be enabled by providing high QoS. The applications of IoT in digital twin development, health care, traffic analysis, home surveillance, intelligent agriculture monitoring, defense and all common day to day activities have resulted in pioneering embedded devices, which can offer high computational facility without much latency and delay. The book address industrial problems in designing expert system and IoT applications. It provides novel survey and case study report on recent industrial approach towards Smart City development.
"synopsis" may belong to another edition of this title.
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.
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.
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.
"About this title" may belong to another edition of this title.
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