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.