Sensor Placement for Lifetime Extension by Applying Neural Network Configuration under Coverage and Energy Constraints

Abstract

In deployments of Wireless Sensor Networks (WSNs), sensor placement, coverage, connectivity and energy constraints determine the overall network lifetime. In large-size WSNs it is difficult to maintain a trade-off among these conflicting goals and, thus, scaling is difficult. In the related research literature, various solutions are proposed that attempt to address near optimal behavior in polynomial time. In this paper, we formulate a lifetime extension problem regarding sensor placement, under coverage and energy constraints, and solve it by employing neural network approach. To do so, the neural network proposes and handles sensor placement coordinates in 2D plane, having the ultimate goal to extend network lifetime. Simulation results show that our proposed algorithm improves network lifetime, while maintaining communication and energy constraints, for medium and large-scale deployments. © 2022 IEEE.