The Edge Cloud Computing for a Secure and QoS-Aware Internet of Things Vehicular Network

Improved communication within Internet of Things (IoT) vehicle networks is a current focus of research into the a VANET (Vehicular Ad-hoc Network). Researchers have taken an interest in edge computing as a technique to enhance the efficiency and reliability of data applications deployed on mobile ad hoc networks (MANETs). Recent research suggests that message-related tasks might be completed more quickly utilizing Cloud Computing. To address the issues of scalability, latency, and security that plague VANET ad hoc networks, we suggest software-defined fault tolerance as well as QoS-aware (the quality of service) Service) internet of things (I Vehicular Methods using Edge Computing obtained through Blockchain. This will enable for safer and more streamlined service delivery. We suggested heuristic techniques to address response time, message disappointment, tolerance for errors, and security concerns brought up by the Blockchain. The suggested architecture obtains information from vehicles by way of SDN nodes located on neighboring edge servers. To ensure that automobiles have access to trustworthy services, the Blockchain then verifies the edge servers. The SDN administrator, which resides on a server situated on the side of the road to avoid communication bottlenecks, is responsible for receiving messages from the cars and sorting them into one of two categories. The timing, size, and urgency of messages must all be taken into account by the edge server before it can begin dividing them. The SDN controller was responsible for organizing these messages and delivering them to the appropriate location. Following the successful delivery of the message to its intended recipient, an error tolerance mechanism examines the acknowledgements received. The failure message will be resent by the fault tolerance algorithm in the event that the delivery of the message fails. The proposed model is put into action with the help of a specialized simulator, and the results are compared to the most recent VANET-based quality of service and fault tolerance models. The effectiveness of the proposed approach was shown by the use of the edge server SDN administrator, which led to a 55% decrease in the total message Communication delay. All communications, even those deemed “urgent,” were discounted by this amount. The suggested architecture makes use of the edge servers, cloud servers, and Blockchain architecture to reduce execution time, security risk, and the percentage of undelivered messages.