A Well-Structured Data Sharing System Implementation using EC Technology and Higher end Communication Network

Vehicular traffic networks (VANETs) are an important part of modern transportation systems, focusing on critical applications such as collision avoidance, lane change assistance, and traffic recognition. However, data distribution in VANETs is very challenging, especially due to the unique characteristics of wireless communications and the dynamic traffic environment. In this context, packet delivery control is very important for proper communication. In this paper, research proposes a new Computer defined Vehicle Network (SDVN) Controlled Routing and Scheduling (CDRS) method to solve the complex data distribution problem of VANET unlike existing approaches, CDRS uses SDVN management functions to integrate a routing strategy and a scheduling strategy that optimizes multihop data transmission. Priorities in CDRS are based on routing and scheduling constraints. Current protocols focus on finding the shortest path connecting source and destination pairs, ignoring factors such as packet proximity and link length, but performance is limited in dynamic VANET environments. Similarly, current scheduling approaches focus on single-hop data distribution and ignore the << potential benefits of multihop transmission over multiple channels. To solve these problems, CDRS formulates the data allocation problem as an integer linear programming (ILP) model that aims to maximize the number of packets sent and minimize the service interval. CDRS ensures efficient data transmission over the network by effectively allocating resources taking into account packet length, link length, and different types of channels (e.g., vehicle-to-vehicle traffic and vehicle-to-vehicle infrastructure) The simulation results show that CDRS performs better in both routing and scheduling methods. Through comprehensive evaluations, CDRS continues to achieve higher delivery rates, reduced service delays, and better differentiation between real-time and virtual transactions. Additionally, CDRS has proven to be effective across a variety of network sizes and marketing methods. The simulation results show that CDRS has the best performance compared to conventional routing and scheduling methods. Through comprehensive evaluations, CDRS continues to achieve higher production rates, reduce service delays and improve the differentiation between real-time and virtual trading. Furthermore, the robustness of CDRS is demonstrated over a variety of network sizes and traffic conditions, demonstrating its ability to deliver performance in a variety of VANET environments.