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2012 IEEE 20th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (2010)
Miami, Florida
Aug. 17, 2010 to Aug. 19, 2010
ISSN: 1526-7539
ISBN: 978-0-7695-4197-6
pp: 421-423
ABSTRACT
This paper introduces a novel deployment strategy to leverage the advantages of both Poisson and Gaussian distributions in random sensor deployment for intrusion detection. The basic idea is to employ multiple deployment points in the area of interest. How to choose the number and locations of the k deployment points for optimizing the network performance under given network investment is therefore a must-answer question. This paper theoretically and experimentally explores the problem under multi-level sensing and detection model. Simulation outcomes are shown to match very well with the theoretical results and validate the effectiveness of the proposed approach and the correctness of the modeling and analysis. This work provides insight on choosing the appropriate number of deployment points and their placement for efficient intrusion detection given arbitrary application requirements.
INDEX TERMS
Intrusion detection, Gaussian distribution, Performance evaluation, Network deployment, Wireless sensor networks
CITATION
Zhengdong Lun, Yun Wang, "Impact of Deployment Point Arrangement on Intrusion Detection in Wireless Sensor Networks", 2012 IEEE 20th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, vol. 00, no. , pp. 421-423, 2010, doi:10.1109/MASCOTS.2010.56
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