Pricing
Sensor node deployment in Wireless Sensor Networks(WSN)-Review
A fuzzy rule is built with the enter parameters such as node degree, hyperlink pleasant and residual energy and reliance upon the outcome of the fuzzy good judgment, the nodes are classified into right, normal and terrible.
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.