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IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing -Vol 1 (SUTC'06)
Robust Localization of Multiple Events in Sensor Networks
Taichung, Taiwan
June 05-June 07
ISBN: 0-7695-2553-9
Chih-Chieh Geoff Chang, North Carolina State University
Wesley E. Snyder, North Carolina State University
Cliff Wang, U.S. Army Research Office 4300 S. Miami Blvd, Durham, NC
Localization of events is a canonical problem for sensor networks, especially for applications such as intrusion detection or neighborhood monitoring. We employ a general sensor model which models various types of sensor nodes. However, traditional triangulation method will be unsolvable when the sensor nodes are positioned on a line. To overcome such ill-conditioned cases, we can use MAP or MMSE methods to estimate event locations. Moreover, to locate multiple simultaneous events and overcome the illconditioned case when the sensor nodes are colllinear, we need to solve a system of nonlinear equations. We propose a novel method which solves this system of nonlinear equations and multiple-event locations can be found. Experiments and error analysis of the method demonstrate the performance of our methods.
Citation:
Chih-Chieh Geoff Chang, Wesley E. Snyder, Cliff Wang, "Robust Localization of Multiple Events in Sensor Networks," sutc, vol. 1, pp.168-177, IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing -Vol 1 (SUTC'06), 2006
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