Energy-Efficient Algorithms and Protocols for Wireless Body Sensor Networks - Brossura

Zhang, Rongrong; Yu, Jihong

Brossura

ISBN 10: 3030285820 ISBN 13: 9783030285821

Casa editrice: Springer, 2020

Riassunto

This book provides a systematic treatment of the theoretical foundation and algorithmic tools necessary in the design of energy-efficient algorithms and protocols in wireless body sensor networks (WBSNs). These problems addressed in the book are of both fundamental and practical importance. Specifically, the book delivers a comprehensive treatment on the following problems ranging from theoretical modeling and analysis, to practical algorithm design and optimization: energy-efficient clustering-based leader election algorithms in WBSNs; MAC protocol for duty-cycling WBSNs with concurrent traffic; multi-channel broadcast algorithms in duty-cycling WBSNs; and energy-efficient sleep scheduling algorithms in WBSNs. Target readers of the book are researchers and advanced-level engineering students interested in acquiring in-depth knowledge on the topic and on WBSNs and their applications, both from theoretical and engineering perspective.

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Informazioni sull?autore

Rongrong Zhang received the B.E and M.E degree in communication and information systems from Chongqing University of Posts and Telecommunications, Chongqing, China, in 2010 and 2013, respectively, and Ph.D degree in Computer Science at the University of Paris Descartes, France, in 2017. She was a research fellow from 2017 in the School of Electrical Engineering and Computer Science, University of Ottawa, Ontario, Canada. She is currently an Assistant Professor with the College of Information Engineering, Capital Normal University, Beijing, China. Her research interests focus on Wireless Sensor Networks, Wireless Area Body Networks for e-health applications, and Internet of Things.

 

Jihong Yu received the B.E degree in communication engineering and M.E degree in communication and information systems from Chongqing University of Posts and Telecommunications, Chongqing, China, in 2010 and 2013, respectively, and the Ph.D. degree in computer science at the University of Paris-Sud, Orsay, France, in 2016. He was a research fellow from 2017 in the School of Computing Science, Simon Fraser University, British Columbia, Canada. Currently, he is an Associate Professor in Beijing Institute of Technology. His research interests include RFID technologies, wireless communications, and Internet of things.

Dalla quarta di copertina

This book provides a systematic treatment of the theoretical foundation and algorithmic tools necessary in the design of energy-efficient algorithms and protocols in wireless body sensor networks (WBSNs). These problems addressed in the book are of both fundamental and practical importance. Specifically, the book delivers a comprehensive treatment on the following problems ranging from theoretical modeling and analysis, to practical algorithm design and optimization: energy-efficient clustering-based leader election algorithms in WBSNs; MAC protocol for duty-cycling WBSNs with concurrent traffic; multi-channel broadcast algorithms in duty-cycling WBSNs; and energy-efficient sleep scheduling algorithms in WBSNs. Target readers of the book are researchers and advanced-level engineering students interested in acquiring in-depth knowledge on the topic and on WBSNs and their applications, both from theoretical and engineering perspective.

• Provides foundations for the design of energy-efficient algorithms and protocols for WBSNs
• Presents a variety of tools and how they can be adapted and applied in the energy-limited WBSNs
• Includes research on conventional graph theory and channel hopping technology into the emerging applications of WBSNs

Dettagli dell'edizione

• Editore: Springer
• Data di pubblicazione: 2020
• Lingua: Inglese
• ISBN 10: 3030285820
• ISBN 13: 9783030285821
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 148
• Contatto del produttore: non disponibile
• Persona responsabile: CMN Printpool Inh. Mathis Neumann; https://www.also.com/ec/cms5/en_6000/6000/index.jsp; ; Friedrich-Karl-Str. 9; Hamburg; Germania