Enhancing Quality of Service in Mobile Ad-Hoc Networks through Secure Routing with Multi-Constrained Network Feature Approximation

In the realm of Mobile Ad-Hoc Networks (MANETs), achieving optimal Quality of Service (QoS) amidst the challenges of security threats and dynamic network topology remains a paramount concern. This paper introduces a groundbreaking secure routing strategy empowered by a multi-constrained network feature approximation technique aimed at bolstering QoS in MANETs. The core innovation lies in the fusion of a multi-dimensional optimization framework with an advanced feature approximation algorithm, tailored to navigate the intricacies of MANETs’ decentralized architecture and fluctuating conditions. By focusing on critical QoS parameters such as throughput, delay, packet delivery ratio, and jitter, alongside ensuring robust security measures, our proposed method significantly enhances the reliability and performance of data transmission within MANETs. A comprehensive simulation environment is utilized to evaluate the effectiveness of our approach, revealing substantial improvements in QoS metrics compared to conventional secure routing protocols. Through a meticulous examination of these results, the study underscores the proposed method’s efficiency in managing the dual objectives of security and QoS optimization. This research not only marks a significant advancement in secure routing protocols for MANETs but also sets the groundwork for future explorations into integrating multi-constrained optimization techniques for network feature approximation in ad-hoc networks.