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

Über die Autorin bzw. den Autor

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 scienceat 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.

Von der hinteren Coverseite

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.