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For transmission and collection of sensed data, it is essential that the connectivity among deployed sensor nodes in WSNs. The maintenance of network connectivity is a challenging task in harsh environmental conditions when participating nodes’ failures lead to the network’s disjoint partitions. To improve the connectivity and coverage with energy efficiency for the partitioned network, optimal positioning of sensor nodes has been performed based on the moth flame optimization algorithm (OPS-MFO). In the anchor node, the relay nodes have exploited in the proposed model—two phases involved in the proposed model, such as the inter-partition phase and intra-partition phase. For intra-partitioning and inter-partitioning, all sensor nodes and relay nodes’ positions have been estimated using the moth flame optimization algorithm for better connectivity. The proposed model is outperformed based on the …