A Beacon Rate Adjustment Scheme based on Autonomic Computing for 5G-V2X

Transport services issues are one of the motivating reasons that push research and engineering communities to design and build smart cities. The fifth generation of mobile communications (5G) and Intelligent Transportation Systems (ITS) play a major role to improve transportation efficiency. Two kinds of messages are basically transmitted in 5G-enabled ITS - event-driven and periodic messages. The former are sent whenever a road hazard event like traffic accidents is detected, whereas the latter are generated by each vehicle to advise neighbors about its status information like position, speed, and direction. A high transmission rate of periodic messages consumes a large amount of bandwidth and causes a channel congestion, as well as, a low transmission rate could alter the neighbors discovery process. In this work, a simple and efficient self-adaptive beacons transmission scheme based on autonomic computing is proposed. The purpose is to reduce the overhead in the network and give more chance to higher priority traffic (like immediate emergency message) to access to the radio channel without distorting the view of node's local topology. The solution is validated with a safety message broadcasting protocol. The simulation results show that the proposed mechanism improves the protocol's performance.