Efficient Routing Algorithm Towards the Security of Vehicular Ad-Hoc Network and Its Applications

A mobile ad hoc network (MANET) is a cluster of wireless mobile devices that can create a temporary network without seeking the support of any central management or infrastructure. Due to such issues, wireless communications require energy consumption, frequent data transmission, and nodes' mobility. Secondly, loss of data packets occurs because of various reasons such as traffic congestion, node mobility, or unexpected losses. An efficient vehicular ad hoc network (VANET) routing protocol is proposed in this study using a genetic algorithm (GA) and evolution-based techniques while considering all the parameters. A new fitness function (F.F) to obtain the optimum route is proposed in this study by using the routes provided by the Ad hoc on-demand multipath distance vector AOMDV routing protocol. This study uses a new type of routing mechanism based on cryptography to demonstrate how to secure V2V and V2I communications from various network threats in a VANET environment. For VANET communications, the transmission message must meet the requirements for integrity, confidentiality, and non-repudiation to ensure that a trustworthy third party can identify users with a pattern of misbehavior. While ensuring optimized route selection and secured communications, a hybrid approach AOMDV-RGA and ABC is proposed. AOMDV-RGA (AOMDV Routing using Genetic Algorithm) is used for selecting optimal routes among the routes, and ABSC (Authentication Based Secured Communication) is proposed for performing secured communication between V2V and V2I. The experimental results demonstrate the proposed technique's effectiveness compared with other previously developed techniques to address the routing and security problems of VANETs.