Rss-aoa-based Target Localization and Tracking in Wireless Sensor Networks

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.

Slavisa Tomic is at the Universidade de Lisboa, Portugal.

Marko Beko is at the Universidade Lusófona and CTS/UNINOVA, Portugal.

Rui Dinis is at the Instituto de Telecomunicações and FCT/UNL, Portugal

Milan Tuba is at John Naisbitt University, Serbia.

Nebojsa Bacanin is at John Naisbitt University, Serbia.