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＜電子ブック＞
Optimal Coverage in Wireless Sensor Networks / by Weili Wu, Zhao Zhang, Wonjun Lee, Ding-Zhu Du
(Springer Optimization and Its Applications. ISSN:19316836 ; 162)

版	1st ed. 2020.
出版者	(Cham : Springer International Publishing : Imprint: Springer)
出版年	2020
本文言語	英語
大きさ	XII, 297 p. 118 illus., 39 illus. in color : online resource
著者標目	*Wu, Weili author Zhang, Zhao author Lee, Wonjun author Du, Ding-Zhu author SpringerLink (Online service)
件　名	LCSH:Mathematical optimization LCSH:Computer engineering LCSH:Computer networks  LCSH:Computer science -- Mathematics  全ての件名で検索 FREE:Optimization FREE:Computer Engineering and Networks FREE:Mathematical Applications in Computer Science
一般注記	Preface -- 1. Introduction -- 2. Sensor Cover -- 3. Connected Sensor Cover -- 4. lifetime of Coverage -- 5. Weighted Sensor Cover -- 6. k-Coverage -- 7. Heterogeneous Sensors -- 8. Barrier Coverage -- 9. Sweep-Coverage -- 10. Partial Coverage -- 11. Mobile Sensors -- 12. Camera Sensors -- Energy-Harvesting Sensors -- Underwater Sensor -- Crowdsensing -- Bibliography This book will serve as a reference, presenting state-of-the-art research on theoretical aspects of optimal sensor coverage problems. Readers will find it a useful tool for furthering developments on theory and applications of optimal coverage; much of the content can serve as material for advanced topics courses at the graduate level. The book is well versed with the hottest research topics such as Lifetime of Coverage, Weighted Sensor Cover, k-Coverage, Heterogeneous Sensors, Barrier, Sweep and Partial Coverage, Mobile Sensors, Camera Sensors and Energy-Harvesting Sensors, and more. Topics are introduced in a natural order from simple covers to connected covers, to the lifetime problem. Later, the book begins revisiting earlier problems ranging from the introduction of weights to coverage by k sensors and partial coverage, and from sensor heterogeneity to novel problems such as the barrier coverage problem. The book ends with coverage of mobile sensors, camera sensors, energy-harvesting sensors, underwater sensors, and crowdsensing HTTP:URL=https://doi.org/10.1007/978-3-030-52824-9

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