Distributed Network Structure Estimation Using Consensus Methods
Morgan & Claypool Publishers (Verlag)
978-1-68173-290-9 (ISBN)
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The area of detection and estimation in a distributed wireless sensor network (WSN) has several applications, including military surveillance, sustainability, health monitoring, and Internet of Things (IoT). Compared with a wired centralized sensor network, a distributed WSN has many advantages including scalability and robustness to sensor node failures. In this book, we address the problem of estimating the structure of distributed WSNs. First, we provide a literature review in: (a) graph theory; (b) network area estimation; and (c) existing consensus algorithms, including average consensus and max consensus. Second, a distributed algorithm for counting the total number of nodes in a wireless sensor network with noisy communication channels is introduced. Then, a distributed network degree distribution estimation (DNDD) algorithm is described. The DNDD algorithm is based on average consensus and in-network empirical mass function estimation. Finally, a fully distributed algorithm for estimating the center and the coverage region of a wireless sensor network is described. The algorithms introduced are appropriate for most connected distributed networks. The performance of the algorithms is analyzed theoretically, and simulations are performed and presented to validate the theoretical results. In this book, we also describe how the introduced algorithms can be used to learn global data information and the global data region.
Sai Zhang received a B.S. degree in electrical and information engineering from Huazhong University of Science and Technology, Wuhan, China, in 2012 and an M.S. degree in electrical engineering from Arizona State University, Tempe, AZ, in 2014. From 2014 to 2017 he was a research assistant at Arizona State University, where he completed his Ph.D. degree in electrical engineering. His research interests include distributed computation in wireless sensor networks, performance analysis of distributed consensus algorithms, and wireless communications. Cihan Tepedelenlioglu was born in Ankara, Turkey, in 1973. He received his B.S. degree with highest honors from Florida Institute of Technology in 1995, and his M.S. degree from the University of Virginia in 1998, both in Electrical Engineering. From January 1999 to May 2001 he was a research assistant at the University of Minnesota, where he completed his Ph.D. degree in Electrical and Computer Engineering. He is currently an Associate Professor of Electrical Engineering at Arizona State University. He was awarded the NSF (early) Career grant in 2001 and has served as an Associate Editor for several IEEE Transactions including IEEE Transactions on Communications, IEEE Signal Processing Letters, and IEEE Transactions on Vehicular Technology. His research interests include statistical signal processing, system identification, wireless communications, estimation and equalization algorithms for wireless systems, multiantenna communications, OFDM, ultra-wideband systems, distributed detection and estimation, and data mining for photovoltaic systems. Andreas Spanias is Professor in the School of Electrical, Computer, and Energy Engineering at Arizona State University. He is also the founder and director of the SenSIP Industry Consortium. His research interests are in the areas of adaptive signal processing, speech processing, and audio sensing. He and his student team developed the computer simulation software Java-DSP (J-DSP - ISBN 0-9724984-0-0). He is author of two textbooks: Audio Processing and Coding by Wiley and DSP: An Interactive Approach. He served as Associate Editor of the IEEE Transactions on Signal Processing and as General Co-Chair of IEEE ICASSP-99. He also served as the IEEE Signal Processing Vice President for Conferences. Andreas Spanias is co-recipient of the 2002 IEEE Donald G. Fink paper prize award and was elected Fellow of the IEEE in 2003. He served as Distinguished Lecturer for the IEEE Signal Processing Society in 2004. Mahesh Banavar received a B.E. degree in telecommunications engineering from Visvesvaraya Technological University, Karnataka, India, in 2005 and M.S. and Ph.D. degrees, both in electrical engineering, from Arizona State University, Tempe, in 2007 and 2010, respectively. He is currently an Assistant Professor in the Department of Electrical and Computer Engineering at Clarkson University, Potsdam, NY. His interests include node localization, detection and estimation algorithms, and performance analysis of distributed sensor algorithms for wireless sensor networks. Dr. Banavar is a recipient of the Teaching Excellence Award from the Graduate and Professional Student Association at Arizona State University and the Outstanding Teaching Award from the Eta Kappa Nu chapter at Clarkson University. He is also a member of MENSA and the Eta Kappa Nu honor society. William H. (Bill) Tranter currently serves as Bradley Professor of Communications at Virginia Tech and as Director of the Mobile and Portable Radio Research Group. He received his Ph.D. in Electrical Engineering from the University of Alabama in 1970. Bill moved to Virginia Tech after holding various academic and administrative positions at the University of Missouri - Rolla from 1969-1996 including Assistant/Associate Dean of Engineering (1980-1985) and Schlumberger Professor of Electrical Engineering (1985-1996). In addition to his academic positions, Bill has held short-term positions with the Sperry Rand Corporation, NASA (both the Huntsville and the Houston centers), and the U.S Army. In 1995, Bill served as an Erskine Fellow at Canterbury University in Christchurch, New Zealand. Bill is a Fellow of the IEEE and has been very active within the IEEE. He has served on both the Educational Activities Board and the Awards Board. Within the IEEE Communications Society Bill served as Director of Publications, member of the Board of Governors, and Editor-in-Chief of the IEEE Journal on Selected Areas in Communications. In 2002-2003 Bill served as Vice President of the IEEE Communications Society with responsibility for Technical Activities. He currently serves as Director of Education.
Preface
Acknowledgments
Introduction
Review of Consensus and Network Structure Estimation
Distributed Node Counting in WSNs
Noncentralized Estimation of Degree Distribution
Network Center and Coverage Region Estimation
Conclusions
Bibliography
Authors' Biographies
| Erscheinungsdatum | 30.03.2018 |
|---|---|
| Reihe/Serie | Synthesis Lectures on Communications |
| Mitarbeit |
Herausgeber (Serie): William Tranter |
| Verlagsort | San Rafael |
| Sprache | englisch |
| Maße | 191 x 235 mm |
| Gewicht | 525 g |
| Themenwelt | Mathematik / Informatik ► Informatik ► Netzwerke |
| ISBN-10 | 1-68173-290-4 / 1681732904 |
| ISBN-13 | 978-1-68173-290-9 / 9781681732909 |
| Zustand | Neuware |
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