Green Internet of Things (IoT) : energy efficiency perspective / Zhenyu Zhou, Zheng Chang, Haijun Liao.
Zhou, Zhenyu, author.; Chang, Zheng, author.; Liao, Haijun, author.
2021
TK5105.7 .Z46 2021
Available Online

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Title Green Internet of Things (IoT) : energy efficiency perspective / Zhenyu Zhou, Zheng Chang, Haijun Liao.
Author Zhou, Zhenyu, author.
ISBN 9783030640545 (electronic book)
303064054X (electronic book)
9783030640552 (print)
3030640558
9783030640569 (print)
3030640566
3030640531
9783030640538
DOI https://doi.org/10.1007/978-3-030-64054-5
Published Cham, Switzerland : Springer, [2021]
Language English
Description 1 online resource (xii, 185 pages) : illustrations (some color)
Other Standard Identifiers 10.1007/978-3-030-64054-5 doi
Call Number TK5105.7 .Z46 2021
Dewey Decimal Classification 004.6
Summary 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. This book provides readers with a comprehensive overview of the state-of-the-art key technologies, frameworks, related optimization algorithms, and corresponding integrated designs on green IoT. It also presents an easy-to-understand style in a professional manner, making the book suitable for a wider range of readers from students to professionals interested in the green IoT.
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Digital File Characteristics text file
PDF
Source of Description Online resource; title from PDF title page (SpringerLink, viewed March 31, 2021).
Added Author Chang, Zheng, author.
Liao, Haijun, author.
Series Wireless networks (Springer (Firm)), 2366-1186
Available in Other Form Print version: 9783030640538
Print version: 9783030640552
Print version: 9783030640569
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
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Preface- 1
Introduction
2 Energy-Efficient Resource Allocationin for D2D Enabled Cellular Networks
3 Energy Harvesting Enabled Energy Efficient Cognitive Machine-to-Machine Communications
4 Software Defined Machine-to-Machine Communication for Smart Energy Management in Power Grids
5 Energy-Efficient M2M Communicationsin for Industrial Automation
6 Energy-Efficient Context-Aware Resource Allocation for Edge-Computing-Empowered Industrial IoT
7 Licensed and Unlicensed Spectrum Management for EnergyEfficient Cognitive M2M
8 Energy-Efficient Task Assignment and Route Planning for UAV
9 Energy-Efficient and Secure Resource Allocation for MultipleAntenna NOMA with Wireless Power Transfer.

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