Springer Mathematical Theories of Distributed Sensor Networks

This book explains how mathematics can be utilized to provide efficient techniques for implementing effective coverage, deployment, transmission, data processing, signal processing, and data protection within distributed sensor networks. From the Back Cover Mathematical Theory of Distributed Sensor Networks demonstrates how mathematical theories can be used to provide distributed sensor modeling and to solve important problems such as coverage hole detection and repair. The book introduces the mathematical and computational structure by discussing what they are, their applications and how they differ from traditional systems. The text also explains how mathematics are utilized to provide efficient techniques implementing effective coverage, deployment, transmission, data processing, signal processing, and data protection within distributed sensor networks. Finally, the authors discuss some important challenges facing mathematics to get more incite to the multidisciplinary area of distributed sensor networks. About the Author S. S. Iyengar is a Distinguished Ryder Professor and Director of the School of Computing and Information Sciences at the Florida International University and is the founding Director of the FIU-Discovery Lab. Dr. Iyengar is a pioneer in the field of distributed sensor networks/sensor fusion, computational aspects of robotics and high performance computing. He has published over 500 research papers and has authored, co-authored, and edited 18 books, which have been used in major universities all over the world. Kianoosh Gholami Boroojeni is a PhD student of computer science at Florida International University. He received his computer science B.Sc in University of Tehran, Iran in 2012. His research interests include algorithms and combinatorial optimization. N. Balakrishnan is an Associate Director and Professor at Department of Aerospace Engineering and Supercomputer Edu- cation and Research Centre, Indian Institute of Science. His research interests include numerical electromagnetic, multi-parameter radars, and signal processing. His publications include 19 books and many peer-reviewed journal papers.