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Green Internet of Things [Kõva köide]

(Symbiosys Skills and Professional University, Pune, India.), (Duy Tan University, Vietnam)
  • Formaat: Hardback, 132 pages, kõrgus x laius: 216x138 mm, kaal: 260 g, 14 Line drawings, black and white; 30 Halftones, black and white; 44 Illustrations, black and white
  • Ilmumisaeg: 05-Jul-2022
  • Kirjastus: CRC Press
  • ISBN-10: 1032069139
  • ISBN-13: 9781032069135
  • Formaat: Hardback, 132 pages, kõrgus x laius: 216x138 mm, kaal: 260 g, 14 Line drawings, black and white; 30 Halftones, black and white; 44 Illustrations, black and white
  • Ilmumisaeg: 05-Jul-2022
  • Kirjastus: CRC Press
  • ISBN-10: 1032069139
  • ISBN-13: 9781032069135
"Green Internet of Things envisions the concept of reducing the energy consumption of IoT devices and making the environment safe. Considering this factor, this book focuses on both theoretical and implementation aspects in green computing, next generation networks or networks that can be utilized in providing green systems through IoT enabling technologies, that is, the technology behind its architecture and building components. It also encompasses design concepts and related advanced computing in details. Green Internet of Things : highlights the elements and communication technologies regarding Green Internet of Things, discusses technologies, architecture and components surrounding Green IoT, describes advanced computing technologies in terms of Smart World, Data centres and other related hardware for Green IoT and elaborates energy efficient Green IoT Design for real time implementations, and covers pertinent application in building smart cities, healthcare devices, efficient energy harvesting and so forth. This shortform book is aimed at students, researchers in internet of things, clean technologies, computer science and engineering"--

This book focusses on both theoretical and implementation aspects in green computing, next generation networks or networks that can be utilized in providing green systems through IoT enabling technologies i.e. technology behind its architecture and building components. It also encompasses design concepts and related advanced computing.

Green Internet of Things (IoT) envisions the concept of reducing the energy consumption of IoT devices and making the environment safe. Considering this factor, this book focuses on both the theoretical and implementation aspects in green computing, next-generation networks or networks that can be utilized in providing green systems through IoT-enabling technologies, that is, the technology behind its architecture and building components. It also encompasses design concepts and related advanced computing in detail.

• Highlights the elements and communication technologies in Green IoT

• Discusses technologies, architecture and components surrounding Green IoT

• Describes advanced computing technologies in terms of smart world, data centres and other related hardware for Green IoT

• Elaborates energy-efficient Green IoT Design for real-time implementations

• Covers pertinent applications in building smart cities, healthcare devices, efficient energy harvesting and so forth

This short-form book is aimed at students, researchers in IoT, clean technologies, computer science and engineering cum Industry R&D researchers.

Preface ix
Authors xi
1 Introduction to the Fundamentals of Internet of Things
1(20)
Introduction to Internet of Things
1.1 Technology behind the Internet of Things
3(2)
1.1.1 Why Do You Need a Robust Internet of Things Architecture?
4(1)
1.2 Building Blocks Underlying Internet of Things Architecture
5(5)
1.3 Internet of Things Communication Models
10(2)
1.3.1 Connectivity-Based Models
11(1)
1.3.2 Communication Models for Smart Building Technology
11(1)
1.3.3 Connected Machines
11(1)
1.3.4 Consumer and Employee Location Data-Based Communication Models
12(1)
1.4 IoT Applications
12(4)
1.4.1 Agriculture and Pest Control
12(1)
1.4.2 Environment
13(1)
1.4.3 Smart Home Applications
13(1)
1.4.4 Healthcare
14(1)
1.4.5 Smart Cities
14(1)
1.4.6 Safe Driving
15(1)
1.4.7 Waste Management
15(1)
1.4.8 Tackling Industrial Issues
15(1)
1.4.9 Supply Chain
16(1)
1.5 Internet of Things Architecture: A Case Study
16(2)
1.6 Conclusion
18(3)
References
18(3)
2 The Elements of Green Internet of Things: Architecture and Components
21(32)
2.1 Introduction
21(2)
2.2 Design Components of IoT
23(17)
2.2.1 Identification
23(1)
2.2.2 Sensor-Based Devices
24(7)
2.2.3 Communication Technologies
31(1)
2.2.3.1 Components for Internet of Things Device Communication
31(1)
2.2.3.2 Internet of Things Devices
32(1)
2.2.3.3 Connecting Wireless Devices
32(1)
2.2.3.4 Local Communication Methods and Protocols
33(3)
2.2.3.5 Gateways
36(2)
2.2.3.6 Network Servers and Cloud Applications
38(1)
2.2.3.7 User Interface
39(1)
2.2.4 Use Case: Light Switch
40(1)
2.3 Computation
40(1)
2.4 Services: The Internet of Things
41(1)
2.5 Semantics
42(2)
2.5.1 The Importance of the Role of Semantic Interoperability in Internet of Things
43(1)
2.6 Concept of Green Internet of Things
44(1)
2.7 Layered Architecture of Green Internet of Things
45(2)
2.8 Energy Optimization Techniques in Internet of Things Technologies
47(3)
2.9 Issues and Challenges
50(1)
2.10 Conclusion
50(3)
References
51(2)
3 Advanced Computing for Green Internet of Things
53(30)
3.1 Introduction
53(1)
3.2 Smart Objects in Green Internet of Things
54(3)
3.3 Cloud Computing for Green Internet of Things
57(3)
3.3.1 Cloud Computing
60(1)
3.4 Edge Computing for Internet of Things
60(1)
3.5 Smart World Contribution for Green Internet of Things
61(15)
3.5.1 ICT Technology Supporting Smart Cities
65(2)
3.5.2 Smart Data Centres for Smart Cities
67(3)
3.5.3 Cloud Computing for Smart Cities
70(2)
3.5.4 Communication Networks for Smart Cities
72(1)
3.5.5 Wireless Sensor Networks for Smart Cities
73(1)
3.5.6 Reducing Pollution Hazards in Smart Cities
74(1)
3.5.7 Waste Management in Smart Cities
74(1)
3.5.8 Sustainability in Smart Cities
75(1)
3.6 Integrating Radio Frequency Identification and Smart Objects into a Unified Internet of Things Architecture
76(2)
3.7 Conclusion and Future Work
78(5)
References
79(4)
4 Energy-Efficient Design towards Green Internet of Things
83(28)
4.1 Introduction
83(3)
4.1.1 Understanding Energy Conservation
83(3)
4.2 Energy Optimization Techniques
86(1)
4.3 System Model for Energy-Efficient Green Internet of Things Network
86(2)
4.4 Energy-Efficient Devices
88(5)
4.4.1 Green Machine-to-Machine Devices
89(1)
4.4.2 Green Direct Current
89(1)
4.4.3 Green Cloud Computing
90(1)
4.4.4 Reliability in Internet of Things Communication
90(1)
4.4.5 Energy Efficiency in Internet of Things Communication
91(1)
4.4.6 Green Design-Based Advanced Technologies
91(2)
4.5 Green Design
93(1)
4.6 Various Techniques to Convert Internet of Things into Green Internet of Things
94(1)
4.7 Green Radio Frequency Identification Technology
95(2)
4.8 Green Wireless Sensor Network Technology
97(3)
4.9 Green Cloud Computing Technology
100(1)
4.10 Green Machine-to-Machine Technology
101(1)
4.11 Green Data Centre Technology
102(1)
4.12 Green Communications and Networking
103(2)
4.13 Green Internet Technologies
105(1)
4.14 Conclusion
106(5)
References
106(5)
5 Impact and Application of Green Internet of Things in Various Fields
111(16)
5.1 Introduction
111(1)
5.2 Environmental Impact of Green Internet of Things Devices
112(2)
5.3 Industrial Applications of Green Internet of Things
114(3)
5.3.1 GIoT for Smart Cities
114(1)
5.3.2 GIoT for Smart Homes
114(1)
5.3.3 GIoT for Smart Environments and Industrial Control
115(1)
5.3.4 GIoT for Smart Agriculture and Animal Husbandry
115(1)
5.3.5 GIoT fore-Health
116(1)
5.4 Critical Problems Faced While Implementing Green Internet of Things in Various Fields
117(2)
5.4.1 Technical Challenges
117(1)
5.4.2 Standardization
118(1)
5.5 Case Study: Impact of Smartphones on the Environment in Present and Future Trends
119(4)
5.5.1 Reducing the Environmental Impact through Smartphones
122(1)
5.6 Conclusion
123(4)
References
123(4)
Index 127
Dr. Bandana Mahapatra received her B.Tech. degree from Krupajal Engineering College, Bhubaneswar, India in 2005; M.Tech. degree from the Institute of Technical Education and Research, BPUT, in 2008; and Ph.D. degree from Siksha O Anusandhan University, in 2018. She is currently working as Assistant Professor with the Symbiosis Skills and Professional University, School of Data Science. She has eight years of expertise in teaching, entrepreneurship and research and development, with a specialization in computer science engineering subjects. She has been granted 10 Indian patents and has published 20+ research papers in reputed SCI/SCOPUS journals from Springer, Elsevier, and Bentham Science; and seven articles in reputed Scopus indexed international conferences including IEEE, Springer and Elsevier. She has authored more than 12 chapters in reputed publications such as CRC, SJM, and IGI Global Publications with many more still in the pipeline. Her research interests are security, IoT, artificial intelligence, swarm optimization, cloud security, ad hoc network, and many more.

Dr. Anand Nayyar received his Ph.D. (Computer Science) from Desh Bhagat University in 2017 in wireless sensor networks and swarm intelligence. He is currently working in the School of Computer ScienceDuy Tan University, Da Nang, Vietnam as Assistant Professor, Scientist, Vice-Chairman (Research) and Director-IoT and Intelligent Systems Lab. He is a certified professional with 100+ professional certificates from CISCO, Microsoft, Oracle, Google, Beingcert, EXIN, GAQM, Cyberoam and many more. He has published more than 150+ research papers in various high-quality ISI-SCI/SCIE/SSCI Impact Factor journals cum Scopus/ESCI indexed journals; 100+ papers at international xii Authors conferences indexed with Springer, IEEE Xplore and ACM Digital Library; 40+book chapters in various Scopus Web of Science indexed books with Springer, CRC Press, Elsevier and more with citations: 6000+, H-index: 40 and I-Index: 150. He is a member of more than 50+ associations as a senior and life member, including IEEE and ACM. He has authored/co-authored as well as edited 30+ books on computer science. He is associated with more than 500+ international conferences as programme committee/chair/advisory board/review board member. He has 18 Australian patents, 50 Indian design cum utility patents, 3 Indian copyright, 2 Canadian copyrights and 5 German patents to his credit in the areas of wireless communications, artificial intelligence, cloud computing, IoT and image processing. He has been awarded 40+ awards for teaching and researchYoung Scientist, Best Scientist, Young Researcher Award, Outstanding Researcher Award, Excellence in Teaching and many more. He is acting as Associate Editor for Wireless Networks (Springer), Computer Communications (Elsevier), International Journal of Sensor Networks (IJSNET) (Inderscience), Frontiers of Computer Science, Peer J Computer Science, Human Centric Computing, and Information Sciences (HCIS), IETQuantum Communications, IET Wireless Sensor Systems, IET Networks, IJDST, IJISP, IJCINI and IJGC. He is acting Editor-in-Chief at IGI-Global for a USA journal titled the International Journal of Smart Vehicles and Smart Transportation (IJSVST). He has reviewed more than 2,000+ articles for various Web of Science indexed journals. His current research focuses on the areas of wireless sensor networks, IoT, swarm intelligence, cloud computing, artificial intelligence, drones, blockchain, cyber security, network simulation and wireless communications.