Role of Edge Analytics in Sustainable Smart City Development: Challenges and Solutions [Hardcover]

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.

Preface xv

1 Smart Health Care Development: Challenges and Solutions 1
R. Sujatha, E.P. Ephzibah and S. Sree Dharinya

1.1 Introduction 2

1.2 ICT Explosion 3

1.2.1 RFID 4

1.2.2 IoT and Big Data 5

1.2.3 Wearable SensorsHead to Toe 7

1.2.4 Cloud Computing 8

1.3 Intelligent Healthcare 10

1.4 Home Healthcare 11

1.5 Data Analytics 11

1.6 TechnologiesData Cognitive 13

1.6.1 Machine Learning 13

1.6.2 Image Processing 14

1.6.3 Deep Learning 14

1.7 Adoption Technologies 15

1.8 Conclusion 15

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