Optimization of Target Q-Coverage Problem for QoS Requirement in Wireless Sensor Networks

Abstract

In the recent times, Quality of Service (QoS) terminology has been frequently used for Wireless Sensor Networks (WSNs) because of the fact that the targets which are covered by a different number of sensor nodes have different detection quality. QoS of the WSNs is determined depending upon the number of sensors that cover each target, sampling fraction etc. factors. Therefore, the optimization of the target Qcoverage problem is an important issue as an effective way that increases the lifetime of the network in continuous monitoring of the remote physical targets with different QoS restrictions. In this study, targets will be ensured to be covered by different detection quality by optimizing the Q-coverage problem which significantly plays a role in determining the coverage quality requirement of each target point in the related area. For this purpose, a new approach has been proposed based on Electromagnetism-Like (EM) algorithm, which is meta-heuristic. As a result of the comparison of the proposed algorithm with Artificial Bee Colony (ABC) and Particle Swarm Optimization (PSO) algorithms, it was determined by the simulations made that the approach proposed in providing the Q-coverage requirements which were defined for all targets was an effective solution in increasing the lifetime of the network by decreasing the energy consumptions of the sensor nodes.