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LLACA: An adaptive localized clustering algorithm for wireless ad hoc networks
2011
Computers & electrical engineering
Performance of ad hoc networks dramatically declines as network grows. Cluster formation in which the network hosts are hierarchically partitioned into several autonomous nonoverlapping groups, based on proximity, is a promising approach to alleviate the scalability problem of ad hoc networks. In this paper, we propose a localized learning automata-based clustering algorithm for wireless ad hoc networks. The proposed clustering method is a fully distributed algorithm in which each host chooses
doi:10.1016/j.compeleceng.2011.05.006
fatcat:2dc5lg4jabhmdcrhx5pyxyttvm