基于模糊聚类理论的无线传感器节点休眠优化策略

J4 ›› 2013, Vol. 48 ›› Issue (09): 17-21.

基于模糊聚类理论的无线传感器节点休眠优化策略

万润泽1,雷建军1,袁操2

1. 湖北第二师范学院计算机学院, 湖北武汉 430205; 2. 武汉工业学院数学与计算机学院, 湖北武汉 430023

收稿日期:2013-06-28 出版日期:2013-09-20 发布日期:2013-09-25
作者简介:万润泽(1981- ),男,讲师,硕士,研究方向为无线传感器网络,智能计算.Email: runzewan@163.com
基金资助:
湖北省自然科学基金资助项目(2011CDB228, 2012FFB00402);湖北省教育厅科学研究计划重点项目(D20113006)

An optimization strategy for managing dormant nodes in wireless sensor networks base on fuzzy clustering

WAN Run-ze1, LEI Jian-jun1, YUAN Cao2

1. School of Computer,Hubei University of Education, Wuhan 430205, Hubei, China;
2. School of Mathematic and Computer Science, Wuhan Polytechnic University, Wuhan 430023, Hubei, China

Received:2013-06-28 Online:2013-09-20 Published:2013-09-25

摘要/Abstract

摘要：

由于无线传感器网络中节点部署密度大,因此数据采集存在较高冗余度。基于模糊聚类理论,提出了一种利用格贴近度来建立模糊相似矩阵,进行聚类后依据在尽可能少的观测节点数目条件下使得信息量最大的准则,遴选出冗余节点。然后针对这部分冗余节点给出了特定的休眠调度机制以节省能量。实验结果表明,提出的策略能够在保证整个传感系统的有效性和精确性的基础上,显著延长网络生命周期。

关键词: 无线传感器网络;模糊聚类;数据融合;分簇

Abstract:

Since the nodes in wireless sensor networks are usually deployed densely, it would lead to the large redundancy of the collected data. The method of fuzzy clustering is proposed and a fuzzy analogical matrix for clustering is established based on the lattice close degree, and then the redundant nodes are chosen according to the criterion that the number of sensors is as few as possible when the maximum information is obtained. Furthermore, a sleep scheduling mechanism is applied for these redundant nodes and experimental results show that this method can improve the effectiveness and accuracy of the sensor system, and prolong the network life cycle significantly.

Key words: wireless sensor networks; fuzzy clustering; data aggregation; cluster

万润泽1,雷建军1,袁操2. 基于模糊聚类理论的无线传感器节点休眠优化策略[J]. J4, 2013, 48(09): 17-21.

WAN Run-ze1, LEI Jian-jun1, YUAN Cao2. An optimization strategy for managing dormant nodes in wireless sensor networks base on fuzzy clustering[J]. J4, 2013, 48(09): 17-21.

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