Author : Saburi Uday Parvatkar and Deipali V. Gore

Wireless Sensor Network is made up of numerous tiny sensor nodes. These sensor nodes are battery powered. Maximizing the lifetime of wireless sensor network is very important. Inspired by the noval approach followed by Ant Colony Optimization algorithm to solve combinatorial problems, this paper proposes an ACO-based approach to solve the energy efficient coverage problem of wireless sensor network. The algorithm finds maximum number of disjoint sensor node sets that satisfies sensing coverage and network connectivity. Probabilistic sensor detection model is used to get the intensity of sensed data. The approach is effective and efficient in increasing the lifetime of wireless sensor network.

Keywords: Ant Colony Optimization (ACO), pheromone, network lifetime, Wireless Sensor Network (WSN).

Article published in International Journal of Current  Engineering  and Technology, Vol.4,No.3 (June- 2014)