A Trust-Aware and Energy Conversion Optimization Framework for Secure and Energy-Efficient Routing in Mobile Ad Hoc Networks

Abstract

Mobile Ad Hoc Networks (MANETs) are very dynamic, infrastructure free networks prone to constant topology changes, energy limitation and vulnerability to security and as such, efficient routing is an important challenge. The research will contribute to improving the performance of routing in MANETs by resolving challenges pertaining to trust assessment, energy imbalance, and routing unsteadiness. The main aim of this work is to come up with a safe, energy efficient, and adaptable routing structure that enhances network lifetime and reliability of communication. Towards this end, a Modular Aging Optimization Algorithm is proposed to dynamically estimate and refresh node trust basing on direct, indirect and recent trust factors, and an Energy Conversion Optimization Algorithm is proposed to optimize residual energy consumption and routing choices. The proposed framework combines the elements of trust-conscious routing and energy optimization to guarantee the maintenance of the stability and security of data transit. The experimental findings indicate that the proposed solution is more superior to the current machine learning and deep learning-based routing solutions since it has a greater accuracy of 93.50, better energy efficiency of 0.88, shorter end-to-end delay of 14.0 ms, and higher network lifespan. All in all, the proposed methodology is efficient to improve the routing reliability, security, and energy efficiency in MANETs, which is why it can be regarded as a good solution to the future mobile wireless networks.