Optimal Density Estimation for Exposure-Path Prevention in Wireless Sensor Networks Using Percolation Theory Conference Paper

abstract

• Most existing works on sensor coverage mainly concentrate on the full coverage models which ensure that all points in the deployment region are covered at the expense of high complexity and cost. In contrast, the exposure-path prevention does not require full coverage sensor deployment, and instead it only needs the partial coverage, because the exposure paths are prevented as long as no moving objects or phenomena can go through a deployment region without being detected. Towards this end, we focus on the partial coverage by applying the percolation theory to solve the exposure path problem for wireless sensor networks. Specifically, we propose a bond-percolation based scheme by mapping the exposure path problem into a bond percolation model. Using this model, we derive the analytical expressions of critical densities for wireless sensor networks under random sensor deployment. 2012 IEEE.

name of conference

• 2012 Proceedings IEEE INFOCOM

authors

• Zhang, Xi

published proceedings

• 2012 PROCEEDINGS IEEE INFOCOM

author list (cited authors)

• Liu, L., Zhang, X. i., & Ma, H.

citation count

• 7

complete list of authors

• Liu, Liang||Zhang, Xi||Ma, Huadong

publication date

• March 2012

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• IEEE Infocom. Proceedings  Journal

keywords

• Coverage
• Exposure Path
• Percolation Theory
• Percolation Threshold
• Wireless Sensor Networks

Digital Object Identifier (DOI)

• 10.1109/infcom.2012.6195661

International Standard Book Number (ISBN) 13

• 9781467307758

start page

• 2601

end page

• 2605

URL

• http%3A%2F%2Fdx.doi.org%2F10.1109%2Finfcom.2012.6195661