A secure and energy efficient cluster based routing model in environmental aware mobile ad hoc networks with iot

Abstract

In danger zones, effective information sharing is crucial for newlineassessing risks. Mobile nodes play a vital role in communicating this newlineinformation, making secure and reliable routing paths essential. Ensuring newlinehigh-level security in MANET-IoT environments is crucial, despite the newlinechallenges. This work proposes an enhanced multi-attribute cryptography newlinemethod combined with an optimization strategy for secure information newlinetransfer using node trust values. It incorporates QoS elements such as newlineStability Rate (SR), Transfer Rate (RR), and Elapsed Time (ET) to improve newlinenetwork reliability by mitigating trust-related threats. newlineA Mobile Ad Hoc Network (MANET) operates as a distributed newlinenetwork without centralized management. With the increasing integration of newlineMANET and the Internet of Things (IoT), the proposed MANET-IoT newlinearchitecture utilizes a multi-cluster configuration. The Hybrid K-Mode newlineClustering (HKMC) technique is suggested for cluster formation, selecting newlineCluster Heads (CH) based on objective functions. To ensure trustworthiness, newlinean Energy Centralized Multi-Attribute Trust (EMAT) model is developed, newlinewhich operates in two stages: generating a multi-attribute trust value using the newlineMulti-Agent Reinforcement Learning (MA-RL) algorithm and selecting the newlineoptimal route using the Secure and Energy Scores (SES) approach. Data newlinesecurity is reinforced through Multi-Attribute Cryptography (MAC). newlineThe proposed approach enhances energy efficiency, network newlinelongevity, residual energy, security, productivity, route costs, and packet newlinedelivery ratio. By comparing this hybrid secure cluster-based routing newlinealgorithm with conventional protocols, improvements in quality of service, newlinenetwork lifespan, energy efficiency, and security are demonstrated. The newlinealgorithm incorporates convolutional neural networks and emperor penguin newlineoptimization for optimal routing, utilizing trust evaluation methods for newlineaccurate performance assessment. newline