The University of Southampton
University of Southampton Institutional Repository

Sensor network-based countersniper system

Record type: Conference or Workshop Item (Paper)

An ad-hoc wireless sensor network-based system is presented that detects and accurately locates shooters even in urban environments. The system consists of a large number of cheap sensors communicating through an ad-hoc wireless network, thus it is capable of tolerating multiple sensor failures, provides good coverage and high accuracy, and is capable of overcoming multipath effects. The performance of the proposed system is superior to that of centralized countersniper systems in such challenging environment as dense urban terrain. In this paper, in addition to the overall system architecture, the acoustic signal detection, the most important middleware services and the unique sensor fusion algorithm are also presented. The system performance is analyzed using real measurement data obtained at a US Army MOUT (Military Operations in Urban Terrain) facility.

Full text not available from this repository.

Citation

Simon, Gyula, Maróti, Miklós, Lédeczi, Ákos, Balogh, György, Kusy, Branislav, Nádas, András, Pap, Gábor, Sallai, János and Frampton, Ken (2004) Sensor network-based countersniper system In Proceedings of the 2nd International Conference on Embedded Networked Sensor Systems. Association for Computing Machinery., pp. 1-12. (doi:10.1145/1031495.1031497).

More information

Published date: 2004
Additional Information: Session: Systems 1
Venue - Dates: 2nd International Conference on Embedded Networked Sensor Systems, 2004-11-03 - 2004-11-05

Identifiers

Local EPrints ID: 42247
URI: http://eprints.soton.ac.uk/id/eprint/42247
ISBN: 1581138792
PURE UUID: e7ca9827-fb88-4ffd-ab1c-2c07087c62df

Catalogue record

Date deposited: 29 Nov 2006
Last modified: 17 Jul 2017 15:23

Export record

Altmetrics

Contributors

Author: Gyula Simon
Author: Miklós Maróti
Author: Ákos Lédeczi
Author: György Balogh
Author: Branislav Kusy
Author: András Nádas
Author: Gábor Pap
Author: János Sallai
Author: Ken Frampton

University divisions


Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×