A FUZZY BASED EFFICIENT AND BLOCKCHAIN ORIENTED SECURED ROUTING IN VEHICULAR AD-HOC NETWORKS

Vehicular ad-hoc networks (VANET) represent an improved iteration of Wireless Sensor Networks (WSN) with mobile sensory nodes situated within vehicles. The Vehicular Adhoc Networks hold a crucial position within smart city applications as inter-vehicle communication is deemed indispensable for maintaining the technological efficiency of the city. Despite the benefits provided by VANET, it encounters numerous challenges and drawbacks within the context of smart city applications. One such challenge pertains to the security and privacy principles of VANET. Privacy and security emerge as principal concerns associated with VANET, prompting multiple researchers to propose security solutions over the past decade. The present research endeavor focuses on elevating the quality of service (QoS) by offering an enhanced level of security for data communication. This security enhancement is achieved through the use of blockchain technology and the integration of Elliptical Curve Cryptography with secure hash functions to safeguard data communication from node to Mobile Control Unit (MCU). Furthermore, the proposed research work presents an efficient routing mechanism for data between mobile nodes and the Control Unit by employing neuro fuzzy logic to identify the optimal path from the source node to the Mobile Control Unit (MCU). The proposed work is compared with existing cryptographic methodologies as well as state-of-the-art routing path optimization algorithms, namely Particle Swarm Optimization (PSO), Genetic Algorithm (GA), Memetic Algorithm (MA), and Honey Bee Optimization (HBO), in order to establish its superiority in terms of computational time, throughput, packet delivery ratio, and accuracy.

Keywords:

Vehicular Adhoc Networks , Wireless sensor networks , quality of service , Elliptical Curve Cryptography , Particle Swarm Optimization (PSO) , Genetic Algorithm (GA) , Memetic Algorithm (MA) , Honey Bee Optimization (HBO) algorithm