Deployment of Multiple Sink in Different Monitoring Areas Based on the Optimization Technique

Background: Wireless Sensor Networks are widely used in different applications like environmental monitoring, health monitoring, wildlife monitoring, etc. The monitored area may be of any shape, such as circular, rectangular, and square. Finding an ideal node deployment technique in Wireless Sensor Systems Networks (WSNs) that would diminish cost, be powerful to node failure, shorten calculation, and communication overhead, and guarantee full coverage alongside network connectivity is a troublesome issue. Sensing coverage and system connectivity are two of the most basic issues in WSNs as they can straightforwardly affect the network lifetime and activity. In traditional WSNs, deployment of a single sink results in more traffic load on that sink causes higher energy consumption. Thus, it is necessary to deploy multiple sinks. Methods: The efficient deployment of sensors and multiple sinks is a challenging task as the performance of the network depends on it. This paper proposes “Sensor Sink Deployment Optimization Algorithm (SSDOA)” sensors and multiple sinks deployment technique in different monitoring area. The deployment strategy is based on the optimization technique. We have simulated it in Matlab simulator. The impact of sensors and sinks on various network performance parameters like coverage, network lifetime and energy consumption has been analyzed. Results: Compared to existing methods, our method performs better in any monitoring area. Reported numerical results show that the proposed approach SSDOA outperforms PSO, GA and Random deployment in the square monitoring area with 9% better network lifetime, 4% full coverage and 7.3% lesser energy consumption respectively. Furthermore, our proposed approach also performs better in circular and rectangular monitoring area.