IMPROVEMENT IN NETWORK LIFETIME USING ANT COLONY OPTIMIZATION FOR K- COVERAGE IN WSN

Abstract: Wireless sensor network has large number of potential applications. It faces many challenging optimization problems in which one of them is coverage problem that reflect the quality of service provided by a sensor network as well as how well sensors monitored the sensor network. In this paper, we propose a optimization technique to improve network lifetime for k-coverage. In proposed algorithm firstly sensor nodes are trained by support vector machine and then apply ant colony optimization technique for target coverage and find the optimal path between source node to destination node. The objective of this paper is to find optimal path from source to destination and improve network lifetime for k-coverage. The proposed work compared with Artificial Bee Colony (ABC) and Particle Swarm Optimization algorithm (PSO) at different nodes.

Keywords: Target coverage, k- coverage, ant colony optimization, wireless sensor network.