计算机工程与应用 ›› 2012, Vol. 48 ›› Issue (17): 114-118.

• 网络、通信、安全 • 上一篇    下一篇

基于Bayes与多层Bayes估计的WSN链路选择算法

罗来俊1,黄文宜2,余秋明1   

  1. 1.江西理工大学 南昌校区,南昌 330013
    2.宜春学院 数学与计算机科学学院,江西 宜春 336000
  • 出版日期:2012-06-11 发布日期:2012-06-20

Link selection algorithm for wireless sensor networks based on Bayesian and hierarchical Bayesian estimation

LUO Laijun1, HUANG Wenyi2, YU Qiuming1   

  1. 1.Nanchang Campus, Jiangxi University of Science and Technology, Nanchang 330013, China
    2.College of Mathematics and Computer Science, Yichun University, Yichun, Jiangxi 336000, China
  • Online:2012-06-11 Published:2012-06-20

摘要: 无线传感器网络(WSN)节点能量有限,采用传统的链路选择的方法(经验法)进行链路选择,需要发送大量的数据包作为测试样本,这在WSN中是不合适的。设计了两种基于Bayes估计与一种基于多层Bayes估计的WSN链路选择算法,分别记为BLSP-B1、BLSP-B2、BLSP-HE。仿真实验发现,在小样本的条件下,BLSP-B1、BLSP-B2、BLSP-HE选择高质量的链路的概率比经验法要高出10%~20%,其中BLSP-HE算法最稳健,性能较好。

关键词: 无线传感器网络, Bayes估计, 多层Bayes估计, 链路选择

Abstract: The energy of nodes of wireless sensor networks is limited, using traditional link selection algorithm(empirical-algorithm) needs to send many data packets as testing samples, but it is not allowed in wireless sensor networks. The paper designs two link-selection algorithms based on Bayesian estimation and one link-selection algorithm based on hierarchical Bayesian estimation, marked as BLSP-B1, BLSP-B2 and BLSP-HE. Simulation result shows that BLSP-B1, BLSP-B2 and BLSP-HE have a 10%~20% higher success rate than empirical-algorithm in selecting the high quality link in the case of the small sample. Among them, BLSP-HE has better and most robust performance.

Key words: wireless sensor networks, Bayesian estimation, hierarchical Bayesian estimation, link selection