车联网中路边设施的分布式调度策略的研究

为了降低碳排放量和部署成本,利用太阳能给车联网路边设施(Road Side Unit, RSU)供电是一个可行的方法.本文针对太阳能供电的RSU,提出了两个分布式的在线调度策略,旨在最大化服务车辆数.在基于Markov链的调度策略中,采用Markov链表述RSU能量状态,并通过对动作的奖励最大化服务的车辆数;在基于阈值的调度策略中,RSU计算服务车辆时所消耗的能量,并结合自己的能量状态,选择服务的车辆.仿真结果表明,本文提出的在线调度策略增加了服务车辆数.

Distributed scheduling strategies for RSUs in VANETs

Using renewable energy to power Road Side Units (RSUs) is a desirable alternative, since it lowers both the carbon footprint and the cost of deployment.Therefore, for renewable energy RSUs, two online distributed scheduling strategies are proposed in this paper to maximize the number of served vehicles.In the Markov chain-based scheduling strategy, the energy state of RSUs is expressed by Markov chain, and the number of served vehicles is maximized by rewarding action.While in the threshold-based scheduling strategy, the harvested energy in RSUs as well as the energy consumed by serving vehicle is calculated to select the number of served vehicles.Simulation results show that the proposed online scheduling strategies increase the capacity of serving vehicles.