SSP'05 -- Proceedings

	IEEE/SP 13th workshop on Statistical Signal Processing July, 17-20, 2005 - Bordeaux - France

Information regarding the paper

Title

Distributed Tracking in Ad-hoc Sensor Networks

Author(s)

Tien Pham	US Army Research Laboratory
Haralabos Papadopoulos	University of Maryland

Get the paper in PDF format

To obtain Acrobat Reader (version 5 minimum required) necessary to his read.

Abstract

In this paper, we present distributed algorithms for tracking a moving source via an ad-hoc network of sensors. Tracking is performed by employing a Kalman filter at all detecting nodes in the network. The Kalman filter employed at any given node exploits the availability of source-location snapshot and prediction estimates, both of which are computed via distributed locally constructed algorithms over the ad-hoc network. As our brief simulation-based analysis reveals, the source-tracking performance of the proposed algorithms is a function of the motion dynamics of the source, the snapshot source-localization algorithm employed, the network topology, and the number of iterations employed in the distributed approximation algorithm.