Rss-Aoa-Based Target Localization and Tracking in Wireless Sensor Networks Contributor(s): Tomic, Slavisa (Author), Beko, Marko (Author), Dinis, Rui (Author) |
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ISBN: 8793519885 ISBN-13: 9788793519886 Publisher: River Publishers OUR PRICE: $85.50 Product Type: Hardcover - Other Formats Published: May 2017 |
Additional Information |
BISAC Categories: - Technology & Engineering | Mobile & Wireless Communications - Technology & Engineering | Signals & Signal Processing - Technology & Engineering | Telecommunications |
Series: River Publishers Communications |
Physical Information: 0.38" H x 6.14" W x 9.21" (0.80 lbs) 130 pages |
Descriptions, Reviews, Etc. |
Publisher Description: The desire for precise knowledge about the location of a moving object at any time has recently motivated a great deal of scientific research. This is owing to the steady expansion of the range of enabling devices and technologies as well as the need for seamless solutions for location-based services. Besides localization accuracy, a common requirement for emerging solutions is that they are cost-abstemious in terms of both the financial and computational cost. Hence, the development of localization strategies from already deployed technologies-- from different terrestrial radio frequency sources-- is of great practical interest. This includes localization strategies based on received signal strength (RSS), time of arrival, angle of arrival (AoA), or a combination of them. RSS-AoA-based Target Localization and Tracking in Wireless Sensor Networks presents recent advances in developing algorithms for target localization and tracking, reflecting state-of-the-art algorithms and research achievements in target localization and tracking based on hybrid (RSS-AoA) measurements. Technical topics discussed in the book include: * Centralized RSS-AoA-based Target Localization * Distributed RSS-AoA-based Target Localization * RSS-AoA-based Target Tracking via Maximum A Posteriori Estimator * RSS-AoA-based Target Tracking via Kalman Filter * RSS-AoA-based via Sensor Navigation This book will be of interest for personnel in telecommunications and surveillance industries, military, and smart systems as well as academic staff and postgraduate/research students in telecommunications, signal processing, and non-smooth and convex optimization. |
Contributor Bio(s): Tuba, Milan: - Milan Tuba is at John Naisbitt University, Serbia.Bacanin, Nebojsa: - Nebojsa Bacanin is at John Naisbitt University, Serbia.Beko, Marko: - Marko Beko is at the Universidade Lusófona and CTS/UNINOVA, Portugal.Dinis, Rui: - Rui Dinis is at the Instituto de Telecomunicações and FCT/UNL, PortugalTomic, Slavisa: - Slavisa Tomic is at the Universidade de Lisboa, Portugal. |