ACO optimized self-organized tree-based energy balance algorithm for wireless sensor network

Abstract

Energy-efficient routing algorithms must handle power-limitation issue of the sensor nodes intelligently to prolong the network life of wireless networks. Accordingly, it is indispensable to collect and exchange the sensor data in an optimized way to reduce energy consumption. Subsequently, an ACO Optimized Self-Organized Tree-Based (AOSTEB) Energy Balance Algorithm for Wireless Sensor Network has been proposed that discovers an efficient route during intra-cluster communication. AOSTEB scheme operates in three phases: cluster-formation, multi-path creation, and data transmission. During cluster-formation, the desired number of sensor nodes are alleviated to the role of cluster-heads (CHs), and the remaining neighboring sensor nodes join the nearest CHs to form a cluster. Further, the multiple paths between the CH and member nodes are discovered using Ant Colony Optimization algorithm. A dynamic energy efficient optimized route is selected within a specific cluster on account of shortest distance and less energy-consumption to initiate the data exchange process within the cluster. The extensive simulation observations ascertain the efficiency of the proposed algorithm by demonstrating the prolonged network lifetime, enhanced stability period, and reduced energy consumption in contrast to the earlier reported works in wireless sensor networks.