MANET Energy Efficient Multi-Path Routing using Ant Colony Optimization and Binary Particle Swarm Optimization

Abstract

The MANET is a network of autonomous mobile devices that are wirelessly connected to one another. Because of their high energy consumption, the nodes in this network have a short life expectancy compared to other networks. When it comes to extending the life of a network, optimization approaches are often used. The optimization techniques of Ant Colony Optimization (ACO) and Binary Particle Swarm Optimization (BPSO) are merged in this study to develop an ACO: BPSO hybrid strategy that is designed to extend the lifespan of the network by increasing its density of ants. The ACO assists nodes in transitioning from ACTIVE to SLEEP state. With the use of the NS2 simulator, it was discovered that the proposed method outperforms existing strategies in terms of throughput, PDR, and residual energy.