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Wireless sensor networks are potentially used in the field of surveillance and monitoring since last few years. In such applications, clustering play an important role in enhancement of the life span and scalability of the network. Each cluster contains a cluster head that controls the whole cluster working, in which various researcher focuses on the good selection of the cluster head that can improve the life of the WSN. Previous works on cluster head selection lacks in data recovery. In this paper we are proposing Cluster Head Selection by Randomness with Data Recovery in WSN (CHSRDR) method for selecting the cluster head inside the cluster with data recovery. The proposed method, CHSRDR, considers the heterogeneity in power and maintains a cluster of vice-heads on the basis of randomness inside the cluster; these vice-heads can work as a head in future, when the main head come to end of power …