A Graphical Model Approach to Source Localization in Wireless Sensor Networks
Author
Abstract

Collaborative localization and discrimination of multiple acoustic sources is an important problem in Wireless Sensor Networks (WSNs). Localization approaches can be categorized as signal-based and feature-based methods. The signal-based methods are not suitable for collaborative localization in WSNs because they require transmission of raw acoustic data. In feature-based methods, signal features are extracted at each sensor and the localization is done by multisensor fusion of the extracted features. Such methods are suitable for WSNs due to their lower bandwidth requirements.

Year of Publication
2009
Document Number
ISIS-09-10
Date Published
03/2009
Type
Technical Report
Institution
ISIS, Vanderbilt University
City
Nashville
Attachments
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