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008			210215s2021 gw | s |||| 0|eng d
020			_a9783030640545
024	7		_a10.1007/978-3-030-64054-5 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTK5105.7 _b2021 EB
100	1		_aZhou, Zhenyu _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9679105
245	1	0	_aGreen Internet of Things (IoT): Energy Efficiency Perspective _cby Zhenyu Zhou, Zheng Chang, Haijun Liao
250			_aFirst edition 2021
264		1	_aCham, Switzerland _bSpringer International Publising _c2021
300			_a1 recurso en línea (XII, 185 páginas) _b60 ilustraciones, 51 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF _2rda
490	0		_aWireless Networks _x2366-1186
505	0		_aPreface- 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.
520	3		_aEnergy 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.
988			_aSpringer_Computer_2021
650		7	_2embne _aRedes informáticas _9141354
650		7	_2embne _aSistemas de comunicación inalámbricos _9158044
650		7	_2embne _aSistemas de comunicación móviles _9147646
700	1		_aChang, Zheng _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9679108
700	1		_aLiao, Haijun _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9679109
710	2		_aSpringerLink
776	0	8	_iPrinted edition: _z9783030640538
776	0	8	_iPrinted edition: _z9783030640552
776	0	8	_iPrinted edition: _z9783030640569
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-64054-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b06/2021 _dz _eIG _zSI