Cluster Head Election Algorithm in Wireless Sensor Network using Artificial Bee Colony

Abstract

Nowadays, Wireless Sensor Network (WSN), which is based on a low power circuit network becomes a mandatory resource. Typical applications of WSN include data collection, monitoring and controlling, surveillance, and medical telemetry. WSN is a multidisciplinary field which involves radio and networking, signal processing, artificial intelligence, database management, systems architectures, resource optimization, power management algorithms, and platform technology such as operating systems. From the point of research, the WSN is an exciting emerging domain of deeply networked systems of low-power wireless motes with a tiny amount of CPU and memory, and large federated networks for high-resolution sensing of the environment. Hence, energy efficient (low power consumption) is a major research issue in WSN. There are various algorithms are proposed for reducing the power consumption in the WSN. In these algorithms, cluster based data communication is a conventional and efficient power management methodology of recent research. Hence, this paper proposes a cluster based energy efficient system which uses the emerging swarm intelligence for cluster head election.