Decision fusion in a wireless sensor network with a large number of sensors

Ruixin Niu, Pramod K. Varshney, Michael Moore, Dale Klamer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

67 Scopus citations

Abstract

For a wireless sensor network (WSN) with a large number of sensors, a decision fusion rule using the total number of detections reported by local sensors for hypothesis testing, is proposed and studied. Based on a signal attenuation model where the received signal power decays as the distance from the target increases, the system level detection performance, namely probabilities of detection and false alarms, are derived and calculated. Without the knowledge of local sensors' performances and at low signal to noise ratio (SNR), this fusion rule can still achieve very good system level detection performance if the number of sensors is sufficiently large. The problem of designing an optimum local sensor level threshold is investigated. For various system parameters, the optimal thresholds are found numerically. Guidelines on selecting the optimal local threshold have been presented.

Original languageEnglish (US)
Title of host publicationProceedings of the Seventh International Conference on Information Fusion, FUSION 2004
EditorsP. Svensson, J. Schubert
Pages21-27
Number of pages7
StatePublished - Nov 2 2004
EventProceedings of the Seventh International Conference on Information Fusion, FUSION 2004 - Stockholm, Sweden
Duration: Jun 28 2004Jul 1 2004

Publication series

NameProceedings of the Seventh International Conference on Information Fusion, FUSION 2004
Volume1

Other

OtherProceedings of the Seventh International Conference on Information Fusion, FUSION 2004
CountrySweden
CityStockholm
Period6/28/047/1/04

Keywords

  • Decision fusion
  • Distributed detection
  • Signal attenuation model
  • Wireless sensor networks

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Niu, R., Varshney, P. K., Moore, M., & Klamer, D. (2004). Decision fusion in a wireless sensor network with a large number of sensors. In P. Svensson, & J. Schubert (Eds.), Proceedings of the Seventh International Conference on Information Fusion, FUSION 2004 (pp. 21-27). (Proceedings of the Seventh International Conference on Information Fusion, FUSION 2004; Vol. 1).