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Monitoring Systems White Papers

Adaptive Distributed Multidimensional Scaling for Localization in Sensor Networks

Overview Accurate, distributed localization algorithms are needed for a wide variety of wireless sensor network applications. This paper introduces a scalable, distributed weighted-MultiDimensional Scaling (dwMDS) algorithm that adaptively emphasizes the most accurate range measurements and naturally accounts for communication constraints within the sensor network. For Received Signal-Strength (RSS) based range measurements, the paper demonstrates via simulation that location estimates are nearly unbiased with variance close to the Cramer-Rao lower Bound (CRB). Further, RSS and Time-Of-Arrival (TOA) channel measurements are used to demonstrate performance as good as the centralized Maximum-Likelihood Estimator (MLE) in a real-world sensor network.

Further White Paper Details
Publisher	University of Michigan	File Format	PDF
Date Published	August 2007	Downloads	5
Format	White Papers
Topics	Monitoring Systems, Scalability, Mobile - Wireless Communications

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