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Collaborative vehicle sensing in bus networks: A Stackelberg game approach

机译:公交网络中的协同车辆感应:Stackelberg游戏方法

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Collecting urban data has become a crucial issue for smart city. Unlike mobile devices and other vehicles, buses have unique characteristics: fixed mobility trajectories, strong periodicity, uniform sensor interfaces and low influence of exposure privacy. We leverage the characteristics and consider a collaborative vehicle sensing paradigm in bus networks. Data center and buses are two sides of trading sense service in the paradigm. The buses are coordinated to collect data while they are competitors for the reward from the data center. We design a primary-secondary coordination strategy using a Stackelberg game approach, where the data center is the leader while the buses are the followers. With the proposed heuristic algorithm, the Stackelberg game can reach a unique Stackelberg equilibrium (SE), where the data center and each bus respectively obtain maximum utility. The simulations validate the effectiveness of our coordination strategy.
机译:收集城市数据已成为智慧城市的关键问题。与移动设备和其他车辆不同,公交车具有独特的特性:固定的移动轨迹,强劲的周期性,统一的传感器接口以及较低的曝光隐私影响。我们利用这些特性并考虑公交网络中的协作车辆感知范例。数据中心和总线是范式中贸易感知服务的两个方面。总线在收集数据中心奖励的竞争者时进行协调以收集数据。我们使用Stackelberg游戏方法设计一次-二次协调策略,其中数据中心是领导者,而公共汽车是跟随者。使用提出的启发式算法,Stackelberg博弈可以达到唯一的Stackelberg均衡(SE),数据中心和每条总线分别获得最大效用。仿真结果验证了我们协调策略的有效性。

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