Steering Technique-Based Detection and Optimization of Overlapping Coverage in Wireless Sensor Networks

Abstract

A wireless sensor network (WSN) is a collection of autonomous sensors and networks. The performance of WSN depends on the nature of the sensors and their deployment. Deploying many sensors in a typical region requires a high level of energy consumption for the same data range, due to overlapping. The detection and optimisation of overlapping coverage are the major problems in WSN. This paper focuses on the detection improvement and optimization of overlapping nodes. In this paper, a steering technique is proposed that contains six phases for the detection and minimization of the overlapping nodes of sensors containing adjustable radii. The area of a redundant node is also adjusted to overlap, and the rest of the redundant nodes are turned off. The radius of nodes is enhanced using two steps: (1) these nodes tend to enlarge their radius up to a threshold value, and (2) with the help of the Venn diagram and set theory, the nodes double their radius so that overlapping and intersections can be avoided. Finally, it is found that some nodes that were not overlapping are now left, and the network's lifetime has increased.