Authors:
- Much of the content can serve as material for advanced topics courses at the graduate level
- Emphasizes theoretical development in the study of solutions or approximation solutions for optimization problems on coverage of wireless sensor networks
- Useful tool in furthering developments on theory and applications of optimal coverage
Part of the book series: Springer Optimization and Its Applications (SOIA, volume 162)
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Table of contents (18 chapters)
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Front Matter
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Back Matter
About this book
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.
Keywords
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Authors and Affiliations
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Department of Computer Science, University of Texas at Dallas, Richardson, USA
Weili Wu, Ding-Zhu Du
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Department of Computer Science, Zhejiang Normal University, Jinhua, China
Zhao Zhang
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School of Cybersecurity, Korea University, Seoul, Korea (Republic of)
Wonjun Lee
Bibliographic Information
Book Title: Optimal Coverage in Wireless Sensor Networks
Authors: Weili Wu, Zhao Zhang, Wonjun Lee, Ding-Zhu Du
Series Title: Springer Optimization and Its Applications
DOI: https://doi.org/10.1007/978-3-030-52824-9
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-52822-5Published: 01 October 2020
eBook ISBN: 978-3-030-52824-9Published: 30 September 2020
Series ISSN: 1931-6828
Series E-ISSN: 1931-6836
Edition Number: 1
Number of Pages: XII, 297
Number of Illustrations: 79 b/w illustrations, 39 illustrations in colour
Topics: Optimization, Computer Systems Organization and Communication Networks, Mathematical Applications in Computer Science