协同边缘中基于队列的V2V隐私保护:海报摘要

Te-Chuan Chiu, Junshan Zhang, Ai-Chun Pang
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引用次数: 0

摘要

下一代5G蜂窝网络被设计为以设备为中心的架构,不仅提供基于人的服务,还提供机器类型的通信(物联网应用)。为了满足自动驾驶等不同的下一代物联网服务需求,本文讨论了多辆自动驾驶汽车,每辆自动驾驶汽车作为一个雾节点具有处理和通信能力,并以排的形式组成多组进行假名更改过程。与传统研究中没有队列设计概念的研究不同,我们考虑了“反应时间”这一实际的队列管理因素,该因素影响着排内前车与后车之间的间距,解决了一个排感知的假名变更问题,以共同实现多排在边缘处的合作之间的隐私收益和交通效率。
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Privacy-preserving of platoon-based V2V in collaborative edge: poster abstract
Next generation 5G cellular networks is designed as a device-centric architecture, which provides not only human-based services but also machine-type communication (Internet of Things applications). To meet different kinds of next generation IoT service requirements such as automated driving, in this paper we discuss multiple automated vehicles, each of which owns processing and communication ability as a fog node and form into multiple groups as platoons to do pseudonym change procedure. Different from the traditional studies without platoon design concept, we consider "reaction time"- a practical platoon management factor which affecting intra-platoon spacing between the leading vehicle and the following vehicle, to tackle a platoon-aware pseudonym change problem for jointly achieving privacy gains and traffic efficiency among multiple platoons' cooperation at the edge.
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