Research Article | OPEN ACCESS
A Bayesian Algorithm of Wireless Sensor Network Link Selection under Asymmetric Loss Function
Lanping Li
Department of Basic Subjects, Hunan University of Finance and Economics, Changsha410205, P.R. China
Research Journal of Applied Sciences, Engineering and Technology 2016 2:249-252
Received: September 19, 2015 | Accepted: October 30, 2015 | Published: January 20, 2016
Abstract
Traditional link selection algorithms of wireless sensor networks needs lots of data packages as testing samples and the nodes of wireless sensor networks are battery-powered. Then it is a shortcoming for the limited energy of wireless sensor networks. The aim of this study is to propose new link selection algorithms to overcome this shortcoming based the concept of Bayesian approach. The new Bayesian link selection algorithms are derived under an asymmetric loss function. Finally, simulations are performed to compare the performance of the new method with other methods. The simulations show that the new algorithm has a good adaptability.
Keywords:
Asymmetric loss function, Bayesian link selection algorithm, wireless sensor networks,
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Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
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The authors have no competing interests.
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