Model-Free Probabilistic Localization of Wireless Sensor Network Nodes in Indoor Environments

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Executive Summary

The authors present a technique that makes up a practical probabilistic approach for locating wireless sensor network devices using the commonly available signal strength measurements (RSSI). From the RSSI measurements between transmitters and receivers situated on a set of landmarks, they construct appropriate probabilistic descriptors associated with a device's position in the contiguous space using a pdf interpolation technique. They then develop a localization system that relies on these descriptors and the measurements made by a set of cluster-heads positioned at some of the landmarks. The localization problem is formulated as a composite hypothesis testing problem.

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