Generation rate control with AoI under traffic hole problem in vehicular networks

Abstract

In 6G mobile networks, vehicular networks will significantly benefit from extremely high network throughput and capacity. For Internet of Things (IoT) within a vehicular network, the sensor data as an update is delivered from each sensor source to a nearby gateway, by Vehicle-to-Vehicle (V2V) and Vehicle to Roadside unit (V2R) communications. The mobility of the vehicles is not only affected by the vehicle itself, but also by external means, such as the signal operations of traffic lights. The red light stops the vehicles at the intersection, which will increase the time it takes for updates carried by the vehicle to be delivered. On the other hand, the red light can also increase the opportunities of vehicles moving behind to catch up with the waiting vehicles in forwarding updates. This is termed as the traffic hole problem by the traffic lights in vehicular networks. In this paper, we investigate the influence of traffic lights in vehicular networks using the metric of Age of Information (AoI). We discuss the optimal generation rate at the source by considering the trade-off between AoI and transmission cost. We propose a Total Average Cost aware generation rate Algorithm (TACA) for the generation interval time at the sensor source. Our intensive simulations verify the proposed algorithm and evaluate the influence of the traffic lights on AoI.

The Age of Information in Wireless Cellular Systems: Gaps, Open Problems, and Research Challenges

“…The rise of Internet-of-Things (IoT) applications experienced over the last decade has given birth to several technologies supporting the exchange of small amounts of data. Based on the latency constraints and reliability requirements of applications [1], these technologies are classified into massive machine-type communications (mMTC) and ultra-reliable low-latency communications (URLLC) [2,3]. Both services are expected to be supported in 5G systems.…”