Adaptive Trust Node Routing via Energy-Aware and Steerable Network with Stochastic Optimization for Augmented Intrusion Detection in MANET Infrastructures

Mobile Ad-Hoc Networks (MANETs) are self-organizing networks without any fixed infrastructure, which are decentralized and, thus, find applications in a dynamic and infrastructure-less environment. Nevertheless, these networks face significant challenges, including excessive energy consumption, malfunctioning routing, and security risks posed by malicious nodes. Such issues tend to cause higher communication overhead and a shorter network lifetime, particularly in highly mobile environments. To overcome these challenges, this paper proposes a dynamic, energy-saving routing architecture that could improve the network's Security and reliability. The suggested solution assesses the reliability of network nodes through energy performance and communication reliability, and continuously analyzes network traffic to identify malicious activity in real time. Data delivery is guaranteed through secure route selection and smart intrusion detection, allowing the framework to reduce superfluous energy consumption. The obtained simulation outcomes show that the suggested approach achieves 92.8% and 96.5% in the packet delivery ratio and intrusion detection, respectively, which is a strong indication of an impervious defense against attacks. Moreover, the method is highly energy-efficient, has a longer network lifetime, and is thus a good fit for the practice of MANET use, such as emergency response, military communications, and mobile IoT networks.