Affiliation:
1. Universal Engineering College
2. Dhofar University Salalah
Abstract
Abstract
Advancement in technology, which has solved greater traffic problems utilizing Vehicular Adhoc NETwork (VANET), has made vehicles communicate with each other by means of Road Side Units (RSU). But, in urban areas, reducing traffic is quite difficult owing to the random movement of vehicles. Thus, this paper proposes a secured routing framework utilizing Vehicle ID-based Digital Signature Algorithm(VID-DSA) and Glorot-Hyperbolic Sine-CNN (Glorot-HS-CNN) techniques. Primarily, the number of vehicles on the road is initialized and registered in the Trusted Authority (TA). During registration, the certificate is issued utilizing VID-DSA. After that, certificate verification takes place when the new user vehicle sends a request to the RSU. Then, for efficient route generation, attributes are extracted from the verified user utilizing the Vectorized-Street RAndom Waypoint (V-STRAW) traffic model. Afterward, the optimal path is selected for the corresponding user vehicles' requests utilizing the Constriction Factor-Battle Royale Optimization (CF-BRO) algorithm for avoiding data collision along with uneven delay. Now, the optimal path is transferred to the user vehicle. At last, grounded on the optimal path, the RSU schedules the requests centered on the network entry time. Lastly, the proposed technique’s performance is validated by analogizing it with the prevailing approaches. The outcomes displayed that when contrasted with other systems, the proposed technique achieves enhancement in performance.
Publisher
Research Square Platform LLC