AI Enhanced Energy Efficient and Secure Routing Algorithm for MANETs

Abstract

MANETs for the Internet of Things (IoT) are evolving to the next level of robust connectivity. However, the MANET-IoT ecosystem faces three main challenges during routing: energy efficiency, security, and reliability. By using various frameworks and technologies to provide an end-to-end solution, Bayesian Directed Acyclic Graph based Mobile Adhoc Networks (BDAG-MANET) and Holochain Mobile Adhoc Networks (Holochain-MANET) address those problems with MANET data transfer. BDAG-MANET uses the Cube Hash and Bimodal Lattice Signature Scheme (BLISS) algorithms, respectively, to perform multifactor authentication to the mobile nodes depending on the security credentials. NS-3.26 simulation tool is used to implement PSO (particle swarm optimization) based on Trusted Adhoc on Demand Vector Routing (TAODV) to ensure security. The numerous properties of the mobile nodes in the Holo chain-MANET environment must be used to verify their validity to the trusted authority, utilizing the Improved Bimodal Lattice Signature Scheme (IBLISS) algorithm. The proposed work uses the Improved Fuzzy C-Means (IFCM) algorithm to perform intelligent clustering on authorized mobile nodes based on many factors.