Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Journal of Guangxi Normal University(Natural Science Edition)》 2017-01
Add to Favorite Get Latest Update

A Routing Optimization Algorithm for Wireless Sensor Network Based on Fuzzy Theory

XIAO Fayuan;LI Haowei;School of Electrical Engineering and Automation,Jiangxi University of Science and Technology;  
Aiming at the problem of uneven energy consumption in wireless sensor network(WSN),on the basis of the uneven clustering,a kind of routing optimization algorithm for wireless sensor network based on fuzzy theory(RABF)is proposed in this paper.In the clustering stage,the relative surplus energy,the centripetal rate and the successful transmission rate are used as the election indexes of each cluster head.And the cluster head is selected by the fuzzy logic reasoning.In the inter-cluster routing stage,the indexes weights of cluster head node are determined through the entropy weight method,a fuzzy comprehensive evaluation method is used to obtain the forwarding probability of cluster head,the cluster head node with the largest probability is chosen as the forwarding node,and the date is then transmitted layer by layer through the cluster head node.The simulation shows that the proposed algorithm has better performance in reducing energy consumption and prolonging network lifetime.
【Fund】: 国家自然科学基金(61163063)
【CateGory Index】: TP212.9;TN929.5
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved