Sensor node deployment in Wireless Sensor Networks(WSN)- Review

Abstract

In wireless Sensor Networks (WSN), sensor node deployment is vital for maximizing the
coverage and detection chances. However the existing optimization solution suffers from
restricted energy garage, node demise, and elevated network visitors and so on. To clear up
those troubles, we advocate a multi-objective PSO and fuzzy based optimization model for
sensor node deployment. The objectives considered in the paper include maximizing
community coverage, connectivity and community lifetime. A fuzzy rule is built with the enter
parameters such as node degree, hyperlink pleasant and residual energy. Relying upon the
outcome of the fuzzy good judgment, the nodes are classified into right, normal and terrible.
After the initial deployment of right nodes, the multi-goal particle swarm optimization (PSO)
based technique is applied for the deployment of different nodes. Maintaining the coolest
nodes because the reference factors, PSO new release is executed such that each terrible and
normal node is attached to at least one excellent node. As a result from our simulation results
we display that the fuzzy logic and the optimization technique affords green and accurate
selections for node deployment.