Background & Objective: Currently, WSN (Wireless Sensor Networks) provides a variety
of services in industrial and commercial applications. WSN consists of nodes that are used to sense
the environments like humidity, temperature, pressure, sound, etc. As the use of WSN grows there
are some issues like coverage, fault tolerance, a deployment problem, localization, Quality of Service,
etc. which needs to be resolved. Sink deployment is a very important problem because it is not the only
impact on performance, but also influence on deployment cost. In traditional WSN, a single sink is deployed
in the network, which aggregates all the data. Due to this, the whole network is suffering from
some serious issues like delay, congestion, network failure that reduces network performance.
Methods: One solution is to deploy multiple sinks instead of a single sink. Deploying multiple sinks
can improve network performance, but increases sink deployment cost. In this paper, an ISDOA (Improved
Sink Deployment Optimization Algorithm) is proposed to find the optimum number of sinks
and their optimum location in ROI. Simulation is carried out in Matlab simulator. The impact of sensors
and sinks on various network performance parameters like throughput, network lifetime, packet
delivery ratio, energy consumption and cost of the network is analyzed.
Results & Conclusion: It is shown by simulation results that the number of sinks varies inversely
with energy consumption of the nodes; and it is linearly proportional to the network lifetime,
throughput and packet delivery ratio. Furthermore, results show that the proposed approach outperforms
random deployment with 25% higher throughput, 30% better network lifetime, 15% lesser energy
consumption and 21% optimized cost of the network, respectively.