The successful operation of Wireless Sensor Network fully depends on the limited battery power of their nodes. Since large number of nodes are deployed in a small area thus leading to spatial correlation among data causing data redundancy. The transmission of redundant data causes unnecessary consumption of limited energy thus reducing the lifetime of the network. In order to enhance the lifetime of the network, a clustering algorithm named as 'Correlated LEACH' has been proposed in this paper

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... y exploiting the correlation between cluster head and other nodes. This paper also includes the modification over Correlated LEACH named here MC-LEACH. It achieves longer lifetime by introducing a modification in cluster head selection criteria based on heterogeneity of nodes. Here, the preference to advanced nodes over normal nodes in cluster head selection process prolonging the lifetime of the network. The simulation model has been developed using Matlab software and first node die out metric has been used for lifetime calculations.