Wireless localization techniques are an area that has attracted interest from both industry and academia, with self-localization capability providing a highly desirable characteristic of wireless sensor networks.

Localization Algorithms and Strategies for Wireless Sensor Networks encompasses the significant and fast growing area of wireless localization techniques. This book provides comprehensive and up-to-date coverage of topics and fundamental theories underpinning measurement techniques and localization algorithms. A useful compilation for academicians, researchers, and practitioners, this Premier Reference Source contains relevant references and the latest studies emerging out of the wireless sensor network field.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

Evaluation of localization algorithms
Global rigidity and localizability
Localization algorithm development cycle
Localization in wireless networks
Location awareness
Machine learning based localization
Range and location accuracy
Robust localization using identifying codes
Sensor network localization theory and algorithms
Signal strength for sensor localization
Statistical location detection
Wireless sensor network localization

Reviews & Statements

This book covers the major techniques that have been widely used for wireless sensor network localization and capture the most recent developments in the area.

– Guoqiang Mao, University of Sydney, Australia

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Editor/Author Biographies

Guoqiang Mao received his Bachelor degree in electrical engineering from Hubei University of Technology (China), his Master degree in engineering from South East University (China) and PhD in telecommunications engineering from Edith Cowan University, Australia in 1995, 1998 and 2002 respectively. After graduation from PhD, he worked in the US-based industrial company “Intelligent Pixel Incorporation” as a Senior Research Engineer for one year. He joined the School of Electrical and Information Engineering, the University of Sydney in December 2002 where he is a Senior Lecturer now. He is seconded to National ICT Australia as a Senior Researcher since 2003. He has published over fifty papers in prestigious journals and refereed conference proceedings. He has been a regular reviewer for many of the leading journals in the area. He has served as a program committee member in a number of international conferences and was the publicity co-chair of 2007 ACM Conference on Embedded Networked Sensor Systems. He was listed in the 25th Anniversary Edition of Marquis “Who's Who in the World” (2008) and in the 9th (2007) and 10th (2008) Anniversary Edition of Marquis “Who's Who in Science and Engineering”. His research interests include wireless localization techniques, wireless multihop networks, graph theory and its application in networking, telecommunications traffic measurement, analysis and modeling, and network performance analysis.

Barýþ Fidan received his BS degrees in electrical engineering and mathematics from Middle East Technical University, (Turkey, 1996), his M.S. degree in electrical engineering from Bilkent University, Turkey in 1998, and the PhD degree in electrical engineering at the University of Southern California, Los Angeles, USA in 2003. After working as a postdoctoral research fellow at the University of Southern California for one year, he joined the National ICT Australia and the Research School of Information Sciences and Engineering of the Australian National University, Canberra, Australia in 2005, where he is currently a senior researcher. His research interests include autonomous multi-agent dynamical systems, sensor networks, cooperative localization, adaptive and nonlinear control, switching and hybrid systems, mechatronics, and various control applications including high performance and hypersonic flight control, semiconductor manufacturing process control, and disk-drive servo systems. He is coauthor of more than seventy publications, including the textbook “Adaptive Control Tutorial” (SIAM, 2006).

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Editorial Advisory Board

List of Reviewers

Brian Anderson, the Australian National University; Australia

Adrian Bishop, KTH Royal Institute of Technology, Sweden

Chun Tung Chou, University of New South Wales, Australia

Soura Dasgupta, the University of Iowa, USA

Kutluyýl Doðançay, University of South Australia, Australia

Jia Fang, Yale University, USA

Tolga Girici, TOBB University of Economics and Technology, Turkey

Fredrik Gustafsson, Linköping University, Sweden

Hatem Hmam, Defence Science and Technology Organisation, Australia

Julien Hendrickx, Université catholique de Louvain, Belgium

Tibor Jordán, Eötvös University, Hungary

Anushiya Kannan, the University of Sydney, Australia

Emre Köksal, the Ohio State University, USA

Ullrich Köthe, the University of Hamburg, Germany

Anthony Kuh, University of Hawaii at Manoa, USA

Lavy Libman, National ICT Australia, Australia

Sarfraz Nawaz, University of New South Wales, Australia

Michael L. McGuire, University of Victoria, Canada

Garry Newsam, Defence Science and Technology Organisation, Australia

M. Özgür Oktel, Bilkent University, Turkey

Neal Patwari, University of Utah, USA

Parastoo Sadeghi, the Australian National University, Australia

Yi Shang, University of Missouri-Columbia, USA

Qinfeng Shi, the Australian National University and National ICT Australia, Australia

Bülent Tavlý, TOBB University of Economics and Technology, Turkey