Distributed Event Detection in Sensor Networks under Random Spatial Deployment

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...

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Bibliographic Details
Published in2014 IEEE Military Communications Conference pp. 623 - 629
Main Authors Pengfei Zhang, Peters, Gareth, Nevat, Ido, Gaoxi Xiao, Hwee-Pink Tan
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2014
Subjects
Approximation algorithms
Convolution
Educational institutions
Event detection
Finite Binomial Point Process
Gram-Charlier series expansion
Monte Carlo methods
Random variables
Sensor networks
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Summary: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.
ISSN:2155-7578
2155-7586
DOI:10.1109/MILCOM.2014.110