Techniques and Applications of Optimal Cluster Head Selection With Trusted Multipath Routing and MANET Intrusion Detection

Abstract

A MANET (mobile ad hoc network) is a self-constituted wireless setup that operates independently of existing infrastructure and centralized control. In various daily uses, such as automotive, military, and other field networks, it is possible to find MANET on wireless systems. In contrast with MANET, a fixed or cable data and computer connectivity system are required for many networks. The WiFi, satellite networking, and smartphone network include fixed infrastructure technology. Moreover, MANET is a dynamic energy and security vulnerable system. The fundamental problem of energy efficiency optimization has been addressed effectively by Routing Protocols (R.P.) among the most extant techniques. This work, therefore, offers an efficient multi-track routing in a MANET-based optimization procedure. The intrusion detection and optimal cluster head (C.H.) selection approach, namely firefly algorithm (FFA) based fuzzy clustering and Random Forest (R.F.), is used to address the energy and security crises in the MANET effectively. The multipath routing is then carried out using secure nodes based on the R.P., Bird swarm with Mayfly algorithm (BS-MFA). The best routes are chosen founded on fitness features such as trust, energy connectivity, and throughput. The approaches are compared using existing techniques and various performance metrics such as energy consumption, Delay, and detection rate.