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Energy management is considered as a challenging task for applications related to the wireless sensor network. The cluster-based networks are among the most effective solutions for the energy-related issue of the wireless sensor network. In this paper, a clustering protocol based on the sleep scheduling approach named Cluster based Sleep Scheduling Protocol (CSSP) is proposed for the lifetime enhancement of the network. The proposed scheme employs a particle swarm optimization based sleep scheduling technique that uses the remaining energy of nodes, distance to neighbors, and coverage neighbor parameter to choose the active and sleep nodes in the network to minimize the energy expenditure. The proposed scheme uses a probability based cluster head selection process which considers the initial energy and remaining energy of sensor nodes to choose the most energy efficient node for the …