Distributed tracking in AD-HOC sensor networks

Author

Pham, Thach ; Papadopoulos, H.C.

Author_Institution

Acousti. Signal Process. Branch, US Army Res. Lab., Adelphi, MD

fYear

2005

fDate

17-20 July 2005

Firstpage

1226

Lastpage

1231

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

Keywords

Kalman filters; ad hoc networks; approximation theory; telecommunication network topology; tracking; wireless sensor networks; Kalman filter; ad-hoc sensor networks; distributed approximation algorithm; distributed tracking; network topology; simulation-based analysis; source-localization algorithm; source-location snapshot; source-tracking performance; Ad hoc networks; Algorithm design and analysis; Analytical models; Approximation algorithms; Availability; Computational modeling; Computer networks; Distributed algorithms; Distributed computing; Performance analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Statistical Signal Processing, 2005 IEEE/SP 13th Workshop on

Conference_Location

Novosibirsk

Print_ISBN

0-7803-9403-8

Type

conf

DOI

10.1109/SSP.2005.1628783

Filename

1628783