Improving Energy and Network Lifetime using PSO based Apriori in Wireless Sensor Networks

摘要

In WSN, the sensor nodes can be placed in any area in the environment. The main work of sensor node is to sense and collect data for forwarding data to a base station or sink. The Cluster formation with load balanced and Effective routing is the key issue in WSN. In this study the problem is to be overcome the cluster formation by using the SEARCH (Sustainability, Energy Aware Cluster Head) protocol, then routing is done by using the PSO (Particle Swarm Optimization) Multi-objective Fitness Function with Apriori Algorithm and its Association rules. The SEARCH protocol helps to detect the energy level of each node in the WSN and helps to form Energy based Clustering to balance the load. The PSO Fitness Function and Apriori Association rules, helps to route the sensed data using efficient routing, by taking the amount of data transfer and the energy efficiency of all routes in order to maintain the energy for long term transmission. As a result, here we implemented this work in java platform. This will shows the better performance of nodes in the network. It will increase the lifetime of network and energy efficiency of the node.