CANOS: Connectivity-Aware Neighbor Orchestration Scheme for Handling Coverage Holes in Wireless Sensor Networks

Abstract

Wireless Sensor Network (WSN) operations are confined to the available node energy due to which limited application support is available. Energy constraints result in coverage holes in the network, degrading the node-to-node transmissions. Therefore energy conservation and transmission rates are to be evenly balanced without compromising the network efficiency and service parameters. In this article, a Connectivity-Aware Neighbor Orchestration Scheme (CANOS) is introduced for optimizing the fore-mentioned balancing cause. The proposed scheme identifies transmission applicable network slices for neighbor orchestration. In this orchestration process, operational neighbor availability and destination connecting probability are analyzed. Based on the analysis, the network slice with transmission-ability is framed and communication is pursued. A decisive training method recommends the slice forming and de-forming instances for surpassing the region-wise coverage holes. In this training process, neighbor availability and connecting probabilities with energy constraints are considered. Therefore, the outcome is an endurable route to the destination, with a high coverage factor, high network lifetime, and energy utilization.