An Energy Efficient Split-and-Merge Clustering Algorithm for Wireless Sensor Networks
نویسندگان
چکیده
The sensor nodes deployed in wireless sensor networks are extremely power constrained, so prolonging the lifetime of the entire networks is mainly considered in the design. This paper analyzes the disadvantages of excessive clustering time because of the possible uneven cluster density. As a result, we present ASMC algorithm and determine (a) first-run presetting cluster heads (CHs) number, (b) adaptive clustering to maintain cluster density of equilibrium, and (c) cluster-heads election to avoid some CHs’ hardware failure. Moreover, ASMC algorithm provides adaptability to mobile nodes, and it has no limitation to the network extensibility. Experiments by the improved J-Sim simulator show that our proposed algorithm evens up the cluster density and extends the network lifetime, compared with the results of LEACH and HEED.
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