Wireless Sensor Network Link Selection Algorithm with Bayesian Technique

Lai Jun Luo; Hai Ping Ren

doi:10.4028/www.scientific.net/AMR.1078.329

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 1078Wireless Sensor Network Link Selection Algorithm...

Wireless Sensor Network Link Selection Algorithm with Bayesian Technique

Abstract:

In wireless sensor networks, traditional link selection algorithm needs lots of data packages as testing samples, but the nodes of WSN are battery-powered, so the energy is extremely limited. To overcome this shortcoming, the aim of this paper is to propose three new link selection algorithms based the concept of Bayesian approach. Simulation results demonstrate that the three algorithms based on Bayesian approach have a higher success rate than empirical-algorithm by about 10 percent in selecting the highest quality link with the case of small samples. Among them, BSLA-EB has a good adaptability and it can get better experimental results.

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Periodical:

Advanced Materials Research (Volume 1078)

Pages:

329-332

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1078.329

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Online since:

December 2014

Authors:

Lai Jun Luo*, Hai Ping Ren

Keywords:

Bayesian Estimation, Link Selection Algorithm, Wireless Sensor Network (WSN)

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