Ca-mwsn: Clustering Algorithm for Mobile Wireless Senor Network

This paper proposes a centralized algorithm for cluster-head-selection in a mobile wireless sensor network. Before execution of algorithm in each round, Base station runs centralized localization algorithm whereby sensors update their locations to base station and accordingly Base station performs dynamic clustering. Afterwards Base station runs CA-MWSN for cluster-head-selection. The proposed algorithm uses three fuzzy inputs Residual energy, Expected Residual Energy and Mobility to find Chance of nodes to be elected as Cluster-head. The node with highest Chance is declared as a Cluster-head for that particular cluster. Dynamic clustering provides uniform and significant distribution of energy in a non-uniform distribution of sensors. CA-MWSN guarantees completion of the round.