Corrigendum to Energy-Efficient Coverage Optimization in Wireless Sensor Networks based on Voronoi-Glowworm Swarm Optimization-K-means algorithm [AdHoc Networks Volume 122 (November 2021) 102660]

Deployment of sensor nodes is one of the crucial factors in mobile wireless sensor networks for improving the performance of the network. The network's lifetime primarily depends on the consumed energy and area coverage by the sensor nodes. The efficiency of mobile wireless sensor networks increases by the efficient deployment of the sensors. Coverage and energy consumption are two basic parameters to estimate the performance of the network, which can be achieved through effective deployment schemes of sensors. This article presents an energy-efficient coverage optimization technique with the help of the Voronoi-Glowworm Swarm Optimization-K-means algorithm. In this proposed approach, Glowworm Swarm Optimization, K-means algorithm, and Voronoi cell structure proliferates the coverage area with a minimum number of active nodes by considering the optimum sensing radius calculation for efficient sensor deployment. Furthermore, this method improves the lifetime of the deployed network by decreasing the consumed energy by the deployed sensor nodes using multi-hop transmission and the sleep-wake mechanism. The simulation result shows that area coverage is achieved by the proposed method up to 99.99% with the optimum number of active sensor nodes..