Publication Type

Conference Proceeding Article

Publication Date

10-2014

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.

Keywords

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

Discipline

Digital Communications and Networking

Research Areas

Software and Cyber-Physical Systems

Publication

2014 IEEE Military Communications Conference (MILCOM)

First Page

623

Last Page

629

Identifier

10.1109/MILCOM.2014.110

Publisher

IEEE

City or Country

Baltimore, MD

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

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