[1]阎新芳,严晶晶,张晓丹,等.WSN中基于离散人工鱼群的分簇拓扑优化算法[J].郑州大学学报(工学版),2017,38(04):69-72.[doi:10.13705/j.issn.1671-6833.2017.01.020]
　Yan Xinfang,Zhang Xiaodan,Yan Jingjing,et al.Ａ Hierarchical Clustering Topology Optimization Algorithm based on DAFS in WSN[J].Journal of Zhengzhou University (Engineering Science),2017,38(04):69-72.[doi:10.13705/j.issn.1671-6833.2017.01.020]
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WSN中基于离散人工鱼群的分簇拓扑优化算法()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
38
期数:
2017年04期
页码:
69-72
栏目:
出版日期:
2017-07-18

文章信息/Info

Title:
Ａ Hierarchical Clustering Topology Optimization Algorithm based on DAFS in WSN
作者:
阎新芳; 严晶晶; 张晓丹; 冯岩
郑州大学信息工程学院,河南郑州,450001
Author(s):
Yan Xinfang;  Zhang Xiaodan;  Yan Jingjing;  Feng Yan
School of Information Engineering, Zhengzhou University, Zhengzhou, Henan 450001
关键词:
Keywords:
DOI:
10.13705/j.issn.1671-6833.2017.01.020
文献标志码:
A
摘要:
针对无线传感器网络中的HCAGG未综合考虑邻居节点的距离和能量分布,离簇首节点较远而能量较少的节点易成为盲节点的问题,提出一种分级簇算法.该算法引入新的综合权值计算方式,利用离散人工鱼群算法快速遍历到满足成员节点距其越远能量越多,反之越少的新簇头,降低了盲节点出现的概率.仿真结果表明,该算法有助于均衡节点能量,能有效延长网络生存期.
Abstract:
To solve the problem in HCAGG that the nodes far away from the cluster head had less energy,and were are prone to be blind nodes,a Hierarchical Clustering Topology Optimization based on Discrete Artificial Fish Swarm (HCTO-DAFS) was proposed.The HCTO-DAFS introduced a new comprehensive weights and acquired the new cluster heads.The member nodes would have more energy when they were away from the cluster head.The DAFS could reduce the probability of blind nodes.Simulation experiments demonstrated that this algorithm could efficiently balance the nodes’ energy and prolong the network’s lifetime.
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