Overview
- Provides a comprehensive reference on the green IoT from theory to implementation
- Introduces an in-depth review of state-of-the-art key technologies and the related applications in green IoT
- Covers practical instructions for future theoretical research in architectures and frameworks of the green IoT
- Presents a comprehensive summary of the challenges and open issues on the current technologies, architectures
Part of the book series: Wireless Networks (WN)
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Table of contents (12 chapters)
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Front Matter
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Back Matter
Keywords
- energy harvesting
- edge computing
- Internet of unmanned aerial vehicles
- Internet of vehicles
- resource allocation
- device-to-device communications
- machine-to-machine communications
- mobile edge computing
- software-defined networking
- network function virtualization
- energy efficiency
- wireless power transfer
- context awareness
- edge computing
- fog computing
- multiple-antenna NOMA
- Massive MIMO
- Internet of Things (IoT)
- green communications
About this book
Energy efficiency issues for green internet of things (IoT) are investigated in this book, from the perspectives of device-to-device (D2D) communications, machine-to-machine (M2M) communications, and air-ground networks. Specifically, critical green IoT techniques from D2D communications in the cellular network to M2M communications in industrial IoT (IIoT), (from single physical-layer optimization to cross-layer optimization, and from single-layer ground networks to stereoscopic air-ground networks) are discussed in both theoretical problem formulation and simulation result analysis in this book.
Internet of Things (IoT) offers a platform that enables sensors and devices to connect seamlessly in an intelligent environment, thus providing intelligence services including monitoring systems, industrial automation, and ultimately smart cities. However, the huge potentials of IoT are constrained by high energy consumption, limited battery capacity, and the slow progress of battery technology. The high energy consumption of IoT device causes communication interruption, information loss, and short network lifetime. Moreover, once deployed, the batteries inside IoT devices cannot be replaced in time. Therefore, energy efficient resource allocation is urgent to be investigated to improve the energy efficiency of IoT, facilitate green IoT, and extend the network lifetime.
Authors and Affiliations
About the authors
Zheng Chang received the B.Eng. degree from Jilin University, Changchun, China in 2007, M.Sc. (Tech.) degree from Helsinki University of Technology (Now Aalto University), Espoo, Finland in 2009 and Ph.D degree from the University of Jyväskylä, Jyväskylä, Finland in 2013. Since 2008, he has held various research positions at Helsinki University of Technology, University of Jyväskylä and Magister Solutions Ltd in Finland. During June to August in 2013, he was a visiting researcher at Tsinghua University, China, and during April to May in 2015, he was a visiting researcher at University of Houston, TX. He has been awarded by the Ulla Tuominen Foundation, the Nokia Foundation, and the Riitta and Jorma J. Takanen Foundation for his research excellence. He has been awarded as 2018 IEEE Communications Society Best Young Researcher for Europe, Middle East, and Africa Region. He has received Best Conference Paper awards from IEEE Technical Committee on Green Communications \& Computing (TCGCC) and 23rd Asia-Pacific Conference on Communications (APCC) in 2017. He serves as editor of IEEE Access, Springer Wireless Networks and International Journal of Distributed Sensor Networks, and guest editor for IEEE Wireless Communications, IEEE Communications Magazine, IEEE Network, IEEE Internet of Things Journal, EURASIP Journal on Wireless Communications and Networking, Physical Communications, and Wireless Communications and Mobile Computing. He also served as TPC member for many IEEE major conferences. He was the exemplary reviewer of IEEE Wireless Communications Letter in 2018. He has participated in organizing workshop and special session in Globecom’19, WCNC’18–20, SPAWC’19, and ISWCS’18. He was also a TPC member for many IEEE major conferences, such as INFOCOM, ICC, and Globecom.
Haijun Liao is working toward the Ph.D degree at School of Electrical and Electronic Engineering, North China Electric Power University, China. She has participated in several national-level projects and provincial and ministerial level projects such as the National Natural Science Foundation of China. She was the recipient of the IEEE IWCMC 2019 Best Paper Award and the IEEE VTC-2020 Spring Best Student Paper Award. Her research interests include green communications and smart grid communications.
Bibliographic Information
Book Title: Green Internet of Things (IoT): Energy Efficiency Perspective
Authors: Zhenyu Zhou, Zheng Chang, Haijun Liao
Series Title: Wireless Networks
DOI: https://doi.org/10.1007/978-3-030-64054-5
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-64053-8Published: 16 February 2021
Softcover ISBN: 978-3-030-64056-9Published: 17 February 2022
eBook ISBN: 978-3-030-64054-5Published: 15 February 2021
Series ISSN: 2366-1186
Series E-ISSN: 2366-1445
Edition Number: 1
Number of Pages: XII, 185
Number of Illustrations: 9 b/w illustrations, 51 illustrations in colour
Topics: Computer Communication Networks, Wireless and Mobile Communication, Communications Engineering, Networks