Efficiency improvement in Wireless Sensor Networks using ABC algorithm for cluster-based packet forwarding

Abstract

Background/Objectives: The Particle Swarm Optimization (PSO) uses the sleeping mechanism that provided energy optimization in Wireless Sensor Networks (WSN), but failed to provide better energy efficiency. Methods/Analysis: This paper proposes an Artificial Bee Colony (ABC) Algorithm, to improve the energy efficiency of WSN by proper Cluster Head (CH) selection. The proposed algorithm helps to form a cluster in a network, in which the nodes are randomly deployed. Findings: The selection of CHs is based on the energy of each node which is communicated using ABC algorithm. The energy and time involved in the CH search mechanism are much minimal than the time and energy consumed by PSO algorithm. Thus, the overall network lifetime is enhanced by generating more alive nodes. Novelty/Improvement: The performance of the proposed system is validated in terms of Packet delay Ratio (PDR), Throughput and the lifetime of the WSN.