ABCF—Augmented Boundary Coverage Framework for Improving Wireless Sensor Network Performance

Abstract

Coverage Holes in wireless sensor network results in partial data exchange between the nodes due to improper neighbor availability. Node placement, connection stability, and reliable transmissions are jointly performed for improving network reliability. This article introduces a heuristic optimization framework for providing a joint solution for the aforementioned features. The framework is named Augmented Boundary Coverage (ABC) which is designed for balancing node deployments and data transmissions. This framework generates harmonized learning-based decisions for mitigating coverage holes through the requirement and boundary-based node deployments. In this deployment process, the maximum to minimum coverage regions is identified without requiring recurrent computations. The process is iterated using distinguishable node features termed using energy and time-to-live metrics. In the iterations, the node’s next availability is identified for preventing intermediate coverage holes post the deployment. The proposed framework’s performance is validated using the metrics coverage factor, network lifetime, and energy utilization.