A Fuzzy Fusion Algorithm Based on Clustering Model for Wireless Sensor Networks

被引：1
|
作者：
Wu, Wanrong [1 ]
Wang, Qiangping [1 ]
Wang, Wei [1 ]
Zhao, Yan [1 ]
Wang, Ke [1 ]
机构：
[1] China Univ Min & Technol, Sch Comp Sci & Technol, Xuzhou 221008, Peoples R China
来源：
2008 3RD INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND APPLICATIONS, VOLS 1 AND 2 | 2008年
关键词：
WSN; Clustering Fusion; Weighted Fuzzy Fusion; Membership Function;
D O I：
10.1109/ICPCA.2008.4783568
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
In wireless sensor networks, the accuracy of data fusion is likely to be contaminated by the environment affects nearby the nodes. In this paper an appropriate fusion model and algorithm is given to solve this problem. According to the clustering fusion model, a weighted fuzzy fusion algorithm based on fuzzy reasoning for cluster heads, is proposed. The advantage of this algorithm is to vary weight value of each cluster head and dynamically update the weight values of each cluster head by using membership function. The accuracy of the proposed algorithm is improved evidently compared with the traditional algorithm.
引用
收藏
页码：169 / 173
页数：5
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