基于Bayes与多层Bayes估计的WSN链路选择算法  

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

作　　者：罗来俊[1] 黄文宜[2] 余秋明[1] 

机构地区：[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　　处：《计算机工程与应用》2012年第17期114-118,共5页Computer Engineering and Applications

基　　金：江西省教育厅科技基金(No.GJJ11600);江西理工大学科研基金(No.jxxj11176)

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。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-B 1, 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.

关 键 词：无线传感器网络 BAYES估计 多层BAYES估计 链路选择 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]