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.

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