This article is part of the series Sensor Networks.

Open Access Research Article

Collaborative In-Network Processing for Target Tracking

Juan Liu*, James Reich and Feng Zhao

Author Affiliations

Palo Alto Research Center, 3333 Coyote Hill Road, Palo Alto, CA 94304, USA

For all author emails, please log on.

EURASIP Journal on Advances in Signal Processing 2003, 2003:616720  doi:10.1155/S111086570321204X


The electronic version of this article is the complete one and can be found online at: http://asp.eurasipjournals.com/content/2003/4/616720


Received:21 December 2001
Revisions received:4 October 2002
Published:30 March 2003

© 2003 Copyright © 2003 Hindawi Publishing Corporation

This paper presents a class of signal processing techniques for collaborative signal processing in ad hoc sensor networks, focusing on a vehicle tracking application. In particular, we study two types of commonly used sensors—acoustic-amplitude sensors for target distance estimation and direction-of-arrival sensors for bearing estimation—and investigate how networks of such sensors can collaborate to extract useful information with minimal resource usage. The information-driven sensor collaboration has several advantages: tracking is distributed, and the network is energy-efficient, activated only on a when-needed basis. We demonstrate the effectiveness of the approach to target tracking using both simulation and field data.

Keywords:
sensor network; target tracking; distributed processing; Bayesian filtering; beamforming; mutual information

Research Article