DocumentCode :
484917
Title :
A Fuzzy Fusion Algorithm Based on Clustering Model for Wireless Sensor Networks
Author :
Wu, Wanrong ; Wang, Qiangping ; Wang, Wei ; Zhao, Yan ; Wang, Ke
Author_Institution :
Sch. of Comput. Sci. & Technol., China Univ. of Min. & Technol., Xuzhou
Volume :
1
fYear :
2008
fDate :
6-8 Oct. 2008
Firstpage :
169
Lastpage :
173
Abstract :
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.
Keywords :
fuzzy reasoning; pattern clustering; sensor fusion; wireless sensor networks; clustering fusion model; data fusion; fuzzy fusion algorithm; fuzzy reasoning; wireless sensor network; Algorithm design and analysis; Clustering algorithms; Computer science; Delay effects; Electronic mail; Fuzzy reasoning; Magnetic heads; Mobile agents; Space technology; Wireless sensor networks; Clustering Fusion; Membership Function; WSN; Weighted Fuzzy Fusion;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pervasive Computing and Applications, 2008. ICPCA 2008. Third International Conference on
Conference_Location :
Alexandria
Print_ISBN :
978-1-4244-2020-9
Electronic_ISBN :
978-1-4244-2021-6
Type :
conf
DOI :
10.1109/ICPCA.2008.4783568
Filename :
4783568
Link To Document :
بازگشت