In sensor network applications, measured data are often meaningful only when the location is accurately known. In this booklet, we study research problems associated with node localization in wireless sensor networks. We describe sensor network localization problems in terms of a detection and estimation framework and we emphasize specifically a cooperative process where sensors with known locations are used to localize nodes at unknown locations. In this class of problems, even if the location of a node is known, the wireless links and transmission modalities between two nodes may be unknown. In this case, sensor nodes are used to detect the location and estimate pertinent data transmission activities between nodes. In addition to the broader problem of sensor localization, this booklet studies also specific localization measurements such as time of arrival (TOA), received signal strength (RSS), and direction of arrival (DOA). The sequential localization algorithm, which uses a subsetof sensor nodes to estimate nearby sensor nodes' locations is discussed in detail. Extensive bibliography is given for those readers who want to delve further into specific topics.

Autorentext

Steven Miller obtained his Bachelors degree from the University of Wisconsin and the Masters and PhD degrees from Arizona State University. He is the founder and CEO of Asperio DSP. He works on the design of algorithms and software tools for GPS, MSK, PSK, AM, and FM receivers. He serves as a VP Engineering and Director of Technology at Hemisphere GPS. He previously worked at Sicom, Honeywell and Fairchild as a member of the engineering staff. He co-developed advanced multi-frequency GNSS receiver including the analog frequency plan, digital based architecture, signal processing chop with hundreds of channels, and software based signal tracking algorithms. He has published in IEEE conferences and journals and he is the co-author of several patents. Xue Zhang joined the School of Electrical, Computer, and Energy Engineering at Arizona State University for her PhD degree in Fall 2010, and she is currently a PhD candidate under the supervision of Prof. Andreas Spanias and Prof. Cihan Tepedelenlioglu. Her research interests are in the areas of detection and estimation theory, localization in wireless sensor networks, and optimization. Her current research is localization in wireless sensor networks. She has served as a reviewer for IEEE journals and conferences. Andreas Spanias is Professor in the School of Electrical, Computer, and Energy Engineering at Arizona State University (ASU). He is also the director of the Sensor Signal and Information Processing (SenSIP) center and the founder of the SenSIP industry consortium (now and NSFI/UCRC site). His research interests are in the areas of adaptive signal processing, speech processing, and sensor systems. He and his student team developed the computer simulation software Java-DSP and its award winning iPhone/iPad and Android versions. He is the author of two textbooks: Audio Processing and Coding by Wiley and DSP; An Interactive Approach (2nd Ed.). 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 a Distinguished lecturer for the IEEE Signal processing society in 2004. He is a series editor for the Morgan & Claypool lecture series on algorithms and software.

Inhalt
Preface.- Acknowledgments.- Introduction.- Introduction to Localization.- Review of Localization Algorithms.- Sequential Localization.- Concluding Remarks and Summary.- Bibliography.- Authors' Biographies.