Date of Publication :15th April 2024

Abstract: In recent years, Vehicle Ad-hoc Networks (VANETs) have received a lot of interest due to their ever-changing topology, high vehicle mobility, frequent link failures, and demanding latency specifications. The dynamic nature of VANETs adds to the overhead of control traffic, necessitating effective routing algorithms to assure reliable transmission. This paper proposes a unique Traffic Density Stable Routing Protocol based on Connection- and Distance (TDSRP-DC) to reduce data packet collisions at junctions and adaptively pick routes in real time. Our technique, based on vehicle-to-vehicle communication, enables cars to determine optimal pathways by detecting acceptable next junctions and permitting multi-hop transmissions to receivers. Periodic data exchanges between cars allow for real-time traffic fluctuation estimation, which is aided by processes including network construction, neighbour discovery, fitness value prediction, and routing methodology. Critical parameters such as node distance, speed, azimuth, link stability, and dependability guide the path optimisation procedure. Our protocol uses vehicle-to-vehicle communication, in which ground vehicles find the best next junction and relay data packets to their intended receivers, resulting in optimal multi-hop pathways. Real-time traffic changes are estimated by frequently exchanging data between cars. This approach's key stages include network construction, neighbour detection, fitness value prediction, and routing mechanism. Parameters including node distance, speed, azimuth, link stability, and reliability are critical in finding the best path.

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