5G-Vanet with Edge Technology: Cooperative Data Transmission

It is well recognized that linked cars may further enhance in-car entertainment, road safety, and transportation intelligence. 5G-VANET, or 5G-enabled Vehicular Adhoc Networks, may be used to construct software-defined communication with very high accuracy, low latency, and large capacity. Despite being essential for many 5G-VANET enabling programs, mobile data transmission between cars remains a difficult problem due to the massive amount of data required and the high cost of 5G cellular network distribution. This work focuses on cooperative information sharing in 5G-VANET facilitated by edge computing. First, we provide a software-defined cooperation data sharing architecture for 5G-VANET, allowing cellular and targeted short-range communication to operate together effectively. Through cellular connections, OpenFlow-capable cars and the Controller may communicate and exchange contextual data. The data plane (DSRC) makes it easier for nearby cars to share data cooperatively. Secondly, we define the data sharing issue on the created conflict graph as the greatest weighted autonomously set problem, and we provide an effective graph-theoretic solution. In particular, we supply a balanced greedy method that may improve the material distribution balance by taking into consideration ongoing data sharing.