Distributed event detection in sensor networks under random spatial deployment

Pengfei Zhang, Gareth Peters, Ido Nevat, Gaoxi Xiao, Hwee-Pink Tan

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

Abstract

We present a novel event detection algorithm in sensor networks for the case where the sensors are randomly deployed in space. In particular we consider a random sensors deployment according to a Homogeneous Finite Binomial Point Process. We first derive the optimal event detection decision rule. We then develop a novel algorithm to evaluate the intractable marginal likelihood based on the Gram-Charlier series expansion. We evaluate our algorithms through extensive Monte Carlo simulations. Simulation results present the detection and false alarm rates for different system parameters such as number of sensors deployed, deployment region size etc.

Original languageEnglish
Title of host publication2014 IEEE Military Communications Conference
PublisherIEEE
Pages623-629
Number of pages7
ISBN (Electronic)9781479967704
DOIs
Publication statusPublished - 20 Nov 2014
Event33rd Annual IEEE Military Communications Conference 2014 - Baltimore, United States
Duration: 6 Oct 20148 Oct 2014

Conference

Conference33rd Annual IEEE Military Communications Conference 2014
CountryUnited States
CityBaltimore
Period6/10/148/10/14

Keywords

  • Event detection
  • Finite Binomial Point Process
  • Gram-Charlier series expansion
  • Sensor networks

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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  • Cite this

    Zhang, P., Peters, G., Nevat, I., Xiao, G., & Tan, H-P. (2014). Distributed event detection in sensor networks under random spatial deployment. In 2014 IEEE Military Communications Conference (pp. 623-629). IEEE. https://doi.org/10.1109/MILCOM.2014.110