A New Centralized Clustering Algorithm for Wireless Sensor Networks

Sensors

Alicia Triviño-Cabrera¹  Antonio-Jose Saez-Castillo²  Juan-Carlos Cuevas-Martinez³  Antonio-Jesus Yuste-Delgado³  Antonio-Jose Leon-Sanchez³ 

[1] Department of Electrical Engineering, Universidad de Málaga, 29071 Málaga, Spain;Department of Statistics and Operational Research, Universidad de Jaén, 23100 Linares, Spain;Department of Telecommunication Engineering, Universidad de Jaén, 23100 Linares, Spain;

关键词: wireless sensor networks;    clustering;    fuzzy system;   

DOI  :  10.3390/s19204391

来源: DOAJ

【 摘 要 】

Clustering is presently one of the main routing techniques employed in randomly deployed wireless sensor networks. This paper describes a novel centralized unequal clustering method for wireless sensor networks. The goals of the algorithm are to prolong the network lifetime and increase the reliability of the network while not compromising the data transmission. In the proposed method, the Base Station decides on the cluster heads according to the best scores obtained from a Type-2 Fuzzy system. The input parameters of the fuzzy system are estimated by the base station or gathered from the network with a careful design that reduces the control message exchange. The whole network is controlled by the base station in a rounds-based schedule that alternates rounds when the base station elects cluster heads, with other rounds in which the cluster heads previously elected, gather data from their contributing nodes and forward them to the base station. The setting of the number of rounds in which the Base Station keeps the same set of cluster heads is another contribution of the present paper. The results show significant improvements achieved by the proposal when compared to other current clustering methods.

【 授权许可】

Unknown