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Parking Reservation Auction for Parked Vehicle Assistance in Vehicular Fog Computing

机译:车辆雾计算中的停放车辆辅助的停车预约拍卖

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摘要

Vehicular fog computing (VFC) is a promising approach to provide ultra-low-latency service to vehicles and end users by extending fog computing to the conventional vehicular networks. Parked vehicle assistance (PVA), as a critical technique in VFC, can be integrated with smart parking in order to exploit its full potentials. In this paper, we propose a smart VFC system, by combining both PVA and smart parking. A VFC-aware parking reservation auction is proposed to guide the on-the-move vehicles to the available parking places with less effort and meanwhile exploit the fog capability of parked vehicles to assist the delay-sensitive computing services by monetary rewards to compensate for their service cost. The proposed allocation rule maximizes the aggregate utility of the smart vehicles and the proposed payment rule guarantees incentive compatibility, individual rationality, and budget balance. We further provide an observation stage with dynamic offload pricing update to improve the offload efficiency and the profit of the fog system. The simulation results confirm the win-win performance enhancement to the fog node controller, the smart vehicles, and the parking places from the proposed design.
机译:车载雾计算(VFC)是一种有前途的方法,可以通过将雾计算扩展到传统的车载网络来为车辆和最终用户提供超低延迟服务。停车辅助车辆(PVA)作为VFC中的一项关键技术,可以与智能停车相集成,以充分发挥其潜力。在本文中,我们通过结合PVA和智能停车提出了一种智能VFC系统。提出了一种具有VFC意识的停车预约拍卖,以引导行进中的车辆以较少的努力到达可用的停车位,同时利用停放的车辆的起雾能力,通过金钱奖励来补偿对时延敏感的计算服务,以补偿他们的需求。服务费用。拟议的分配规则最大程度地发挥了智能车辆的综合效用,而拟议的支付规则则确保了激励兼容性,个人理性和预算平衡。我们进一步为观察阶段提供动态卸载价格更新,以提高卸载效率和雾系统的利润。仿真结果证实了从提出的设计到雾节点控制器,智能车辆和停车位的双赢性能增强。

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