Multi-objective function-based optimal path selection for energy efficient routing in MANET using fused locust swarm and dragonfly optimization strategy

Abstract

A set of wireless mobile nodes is referred as a Mobile Ad Hoc Network (MANET) that forms a huge system with no centralized management or framework. Because of the mobile nodes that depend on batteries for power, one of the main constraints of MANET seems to be energy consumption. As nodes change and move their places quickly across MANET, batteries quickly run out of power. The capability and behavior of mobile nodes are not similar, and they are typically not identical to one another in a network. For transmitting the data, the path discovery procedure is performed in MANET. Some nodes perform better packet sharing, resulting in variable node energy levels, so those nodes reduce their transmission level to the target from a source node. Because of this procedure, the duration of the system gets reduced, and the utilization of energy becomes higher. Routing with higher energy efficiency and attacks are the most raised problems in MANET. As a result, MANET suffers from more security-related issues. Therefore, an optimization strategy-based energy-efficient routing model is developed in MANET to provide stable communication. In this model, the Fused Locust Swarm with Dragonfly Optimization Algorithm (FLS-DOA) is implemented to optimally select the best paths for better routing in MANET. The multi-parameters like packet delivery ratio, link cost, remaining energy, bandwidth, packet energy cost, hop count, throughput, end-to-delay, security, path loss, routing overhead ratio, battery, and energy consumption are considered during optimization. The developed model is given additional security against unwanted access. From the result, the throughput of the developed model is 0.95 at the 2000 rounds. Accordingly, the throughput of the traditional techniques like ORSMAN, BPSO, GA, and EEE-SR is 0.62, 0.74, 0.79, and 0.85 at the 2000 rounds. The numerical findings are evaluated with the baseline optimization-based routing approach in MANET to guarantee the performance of the offered approach.