5G-VANET Edge-Assisted Data Exchange

Road safety, improved in-car entertainment, and transportation intelligence are all potential advantages of linked cars. The use of flexible software-defined relationships that provide the greatest levels of confidence, a low rate of latency, and capacity is made possible by 5G-enabled V ANETs, also known as 5G- V ANETs. Many 5G- V ANET solutions that depend on distributing mobile data among automobiles face challenges because of the enormous data volumes and the expensive 5G cell phone network transmission. This work focuses on efficient cooperation sharing of data in a 5G- V ANET with assistance for compute at the edge. We provide a software-defined framework for cooperative data exchange that will allow wireless communications and Specified Short-Range Radio to work well together. While the DSRC facilitates cooperation data sharing between nearby vehicles, cellular connection permits communication among OpenFlow-capable vehicles and the Controller's sensors for data related to the environment. To solve the data exchange issue, that is phrased as the conflict graphing's largest weighted dependency set query, we provide an inverse graph theory-based strategy. In order to maximise the usage of computing resources, we additionally supply an organising method based on interval linear algebra and an evenly greedy strategy for constant information sharing.