A Data Fusion Algorithm in Leach Protocol Using Gauss Membership Function

Author

Chen, Wei-Qi ; Hu, Bin-Jie

Author_Institution

Sch. of Electron. & Inf. Eng., South China Univ. of Technol., Guangzhou, China

fYear

2010

fDate

23-25 Sept. 2010

Firstpage

1

Lastpage

4

Abstract

A new data fusion algorithm based on improved leach protocol and gauss membership function of fuzzy theory in wireless sensor networks is presented. The improved leach protocol is utilized second-level cluster head to transmit fused data which can reduce energy consumption and prolong the network life cycle. The proposed fusion algorithm with the gauss distribution characteristic chart and the gauss membership function can improve the data precision and measurement stability.

Keywords

Gaussian distribution; fuzzy set theory; protocols; sensor fusion; wireless sensor networks; Gauss distribution characteristic chart; Gauss membership function; data fusion algorithm; data precision; energy consumption; fused data; fuzzy theory; leach protocol; measurement stability; network life cycle; second-level cluster head; wireless sensor networks; Base stations; Clustering algorithms; Measurement uncertainty; Protocols; Temperature distribution; Temperature measurement; Wireless sensor networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communications Networking and Mobile Computing (WiCOM), 2010 6th International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4244-3708-5

Electronic_ISBN

978-1-4244-3709-2

Type

conf

DOI

10.1109/WICOM.2010.5601136

Filename

5601136