ETPA: Energy, Throughput, Privacy Aware Multipath Routing with Intrusion Avoidance for Reliable MANET System
Nirmala Bai K.S, M.V. Subramanyam · International Journal of Electrical and Electronics Engineering · 2025
One of the power consumption issues in MANET networks is a major continuous problem, and it is of great importance to develop an energy-efficient routing architecture to prolong the operation of the network. Therefore, it is also claimed that the more mobility of the nodes in MANETs results in more network traffic and delays. Reducing such delays is still a major focus of study using optimization techniques. This work proposes the energy-aware multipath routing model applied to the clustering system using a Genetic Algorithm-Based Lion Optimization (GALO) AOMDV model. To prevent intrusions through clustering, Adaptive Ensemble Tree Learning (AETL), clubbed with the best machine learning technique, Hybrid Dual Optimization of Machine Learning Model (HDOMLM), is chosen by this study to choose cluster heads. The GALO algorithm aims to enhance network lifespan and generic Quality of Service (QoS) by lowering link failures using appropriate data transmission path identification. It would leverage the proposed GALO model for the networks to find shorter networks and thus improve the packet delivery ratio, throughput, packet loss, Delay, and energy depletion. Running the simulations, with our proposed ETPA system, we were able to attain 71% more energy from previous routing algorithm-based implementations and an increase of 50.12% on network lifetime.