Wireless Sensor Network Link Selection Algorithm with Bayesian Technique-Reference-Cited by-同舟云学术

Wireless Sensor Network Link Selection Algorithm with Bayesian Technique

Published:2014-12 Issue: Volume:1078 Page:329-332
ISSN:1662-8985
Container-title:Advanced Materials Research
language:
Short-container-title:AMR

Author:

Luo Lai Jun¹,Ren Hai Ping¹

Affiliation:

1. Jiangxi University of Science and Technology

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.

Publisher

Trans Tech Publications, Ltd.

Subject

General Engineering

Link

https://www.scientific.net/AMR.1078.329.pdf

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