Approach to adaptive vehicle grouping in traffic in fifth generation cellular networks

Abstract

The need for more efficient traffic congestion solutions and the exchange of information between vehicles for safety purposes is emerging. Infrastructure and network are needed to provide a fast, timely and reliable basis for implementing the solutions to these problems. In this context, the possibilities of deploying fifth generation networks are considered due to the latency and the speed of data transmission it offers. Specifically, the adaptive vehicle clustering approach has been proposed as a solution to the large amount of data from various sources that overwhelm the network, and is a major obstacle to its proper and reliable functioning. For this purpose, usage of SDN within the 5G VANET network is proposed, which offers the possibilities of global network control and gathering information from different parts of the network in real time, in order to control traffic on the roads. It is also pointed out that there are more traffic problems that can be solved by further development of new wireless network technologies, with innovative approaches to reducing their workload.