Distributed data fusion based on fuzzy C-means for wireless sensor network
Zhang YZ, Liqiang Li, Yangyang Bi, Ying Chen · SIA OpenIR (Chinese Academy of Sciences) · 2012
To attain better time-delay performance, this article, based on clustering method, adapts vertices coverage method to build the tree-based structure for data transmission. It effectively decreases the data transmitting time and balance load. Then, a distributed fuzzy C-means algorithm (DFCMA) for heterogeneous data in WSN clusters is proposed to implement data fusion. According to the simulation result, the proposed data fusion algorithm owns good scalability and accuracy and lower time-delay. Copyright © 2012 Binary Information Press.