Lifetime Enhancement of Wireless Sensor Networks by using MFO Algorithm

摘要

Wireless sensor networks (WSNs) are extensively used in numerous applications from sensing and tracking to atmospheric quantity measurement. Sensor nodes used in the network are mostly battery powered and due to odd terrain of deployment it is not always easy to replace them. For managing this battery resource of the WSNs various schemes have been proposed and implemented. In this paper we have used Moth Flame Optimization algorithm in the clustering and routing for enhancing the lifetime of the sensor network. Outcome through this algorithm are compared with the previously used various algorithms like Particle Swarm Optimization, Genetic Algorithm and Least Distance Clustering Algorithm.