Abstract and Applied Analysis

Boundary Recognition by Simulating a Diffusion Process in Wireless Sensor Networks

De Gu, Jishuai Wang, and Ji Li

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Abstract

Wireless sensor networks (WSN) are becoming increasingly promising in practice. As the predeployment design and optimization are usually unpractical in random deployment scenarios, the global optimum of the WSN’s performance is achievable only if the topology dependent self-organizing process acquires the overview of the WSN, in which the boundary is the most important. The idea of this paper comes from the fact that contours only break on the geometrical boundary and the WSN are discrete sampling systems of real environments. By simulating a diffusion process in discrete form, the end point of semi-contours suggests the boundary nodes of a WSN. The simulation cases show the algorithm is well worked in WSN with average degree higher than 10. The boundary recognition could be very valuable for other algorithms dedicated to optimize the overall performance of WSN.

Article information

Source
Abstr. Appl. Anal., Volume 2014, Special Issue (2013), Article ID 236279, 11 pages.

Dates
First available in Project Euclid: 6 October 2014

Permanent link to this document
https://projecteuclid.org/euclid.aaa/1412605737

Digital Object Identifier
doi:10.1155/2014/236279

Zentralblatt MATH identifier
07021971

Citation

Gu, De; Wang, Jishuai; Li, Ji. Boundary Recognition by Simulating a Diffusion Process in Wireless Sensor Networks. Abstr. Appl. Anal. 2014, Special Issue (2013), Article ID 236279, 11 pages. doi:10.1155/2014/236279. https://projecteuclid.org/euclid.aaa/1412605737


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