• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Percolation Theory-Based Exposure-Path Prevention for 3D-Wireless Sensor Networks Coverage


Abstract

Different from the existing works on coverage problems in wireless sensor networks (WSNs), this paper considers the exposure-path prevention problem by using the percolation theory in three dimensional (3D) WSNs, which can be implemented in intruder detecting applications. In this paper, to avoid the loose bounds of critical density, a bond percolation-based scheme is proposed to put the exposure-path problem into a 3D uniform lattice. Within this scheme, the tighter bonds of critical density for omnidirectional and directional sensor networks under random sensor deployment?a 3D Poisson process are derived. Extensive simulation results show that our scheme generates tighter bounds of critical density with no exposure path in 3D WSNs.


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Cite this article

[IEEE Style]
Xiaoshuang Liu, Guixia Kang and Ningbo Zhang, "Percolation Theory-Based Exposure-Path Prevention for 3D-Wireless Sensor Networks Coverage," KSII Transactions on Internet and Information Systems, vol. 9, no. 1, pp. 126-148, 2015. DOI: 10.3837/tiis.2015.01.008

[ACM Style]
Liu, X., Kang, G., and Zhang, N. 2015. Percolation Theory-Based Exposure-Path Prevention for 3D-Wireless Sensor Networks Coverage. KSII Transactions on Internet and Information Systems, 9, 1, (2015), 126-148. DOI: 10.3837/tiis.2015.01.008