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Wireless sensor networks are usually made up of a large number of sensor nodes. Such large networks require algorithms which can maintain their performance while the network size gets larger and larger. Clustering is a very efficient method which can help many algorithms become scalable to networks of large sizes. Recently, irregular cellular learning automata is proposed as a suitable modeling tool...
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