Qinghua Wang
ABSTRACT
Researches around wireless sensor network (WSN) were very prolific recently. However, traffic modeling related WSN research was poorly less. In this paper, source traffic dynamics in a simulated target tracking WSN scenario are explored. We find the source traffic arrival process doesn't follow the usually considered Poisson model. Instead, an ON/OFF model is found to be capable of capturing the burst nature of source traffic arrival. Further, we find the measured ON/OFF periods follow the generalized Pareto distribution perfectly. Mathematical analysis also shows a surprising fact: all ON/OFF period distributions in the experiment exhibit short-tail property, which is a nice property that could be exploited by applications such as anomaly detection and node failure detection.
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Cross Ref
- I. Downard. Simulating sensor networks in ns-2. http://cs.itd.nrl.navy.mil/pubs/docs/nrlsensorsim04.pdf, 2004.Google Scholar
- S. Tang. An analytical traffic flow model for cluster-based wireless sensor networks. In 1st International Symposium on Wireless Pervasive Computing, 2006.Google Scholar
- Q. Wang. Ns2-miun. http://apachepersonal.miun.se/~qinwan/resources.htm.Google Scholar
- X. Zhao, D. Massey, M. Lad, and L. Zhang. On/off model: a new tool to understand bgp update burst. Technical Report 04-819, USC-CSD, August 2004.Google Scholar
Index Terms
- Source traffic modeling in wireless sensor networks for target tracking
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