A NEW DYNAMIC DEPLOYMENT APPROACH BASED ON WHALE OPTIMIZATION ALGORITHM IN THE OPTIMIZATION OF COVERAGE RATES OF WIRELESS SENSOR NETWORKS
Recep O. Ozdag, Murat Canayaz · European Journal of Technic · 2017
The dynamic deployments of Wireless SensorNetworks refer to the process of determining the location of the networkingsensors in the region of interest after initial deployment. In this process,the fact that the dynamic deployments of sensors is effectively made plays asignificant role in increasing the coverage rates of WSNs. The optimization ofthe coverage rates of Wireless Sensor Networks indicates that the targets inthe region of interest are optimally covered by deployed mobile sensors andultimately these targets can be monitored by the sensors. Therefore, themonitoring of the whole area in Wireless Sensor Network's military and civilianapplications is possible by the optimum placement of randomly deployed sensorsin the region of interest.In this study, a new dynamic deploymentapproach was developed based on the current meta-heuristic Whale OptimizationAlgorithm to find a solution to the problem of dynamic deployment of sensors.In order to solve the area coverage problem of Wireless Sensor Networks, thedynamic deployments of mobile nodes, the initial deployment of which was made randomly,was made by the developed approach using the Binary Detection Model. Thisapproach was compared with the Maximum Area Detection Algorithm based onElectromagnetism-Like in the literature, and the performance of Wireless SensorNetwork at coverage rates was measured. Simulation results have demonstratedthat the approach developed for the area coverage problem is more effective andcan be suggested with respect to the number of mobile sensors deployed and thereached coverage rates of the network.