Publication Type
Conference Proceeding Article
Version
publishedVersion
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
Citation
P. Zhang; G. Peters; I. Nevat; G. Xiao; and TAN, Hwee-Pink.
Distributed Event Detection in Sensor Networks under Random Spatial Deployment. (2014). 2014 IEEE Military Communications Conference (MILCOM). 623-629.
Available at: https://ink.library.smu.edu.sg/sis_research/2942
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.