A learning automata-based clustering algorithm for sensor networks

Clustering sensor nodes is one of the effective ways which extends the life time of sensor networks. In this paper, a learning automata-based clustering algorithm (LACA) for a sensor network is proposed. The proposed algorithm is completely distributed and independent of network size and topology. The performance of the LACA via the computer simulation was evaluated and compared with other clustering algorithms. The simulation results show the high performance of the proposed clustering algorithm.