论文标题

可靠的交通监控机制,基于车辆网络中的区块链

Reliable Traffic Monitoring Mechanisms Based on Blockchain in Vehicular Networks

论文作者

Guo, Jianxiong, Ding, Xingjian, Wu, Weili

论文摘要

实时的交通监控是智能城市中的基本任务,以了解交通状况并避免危险事件。在本文中,我们提出了一个可靠,有效的交通监控系统,该系统有效地集成了区块链和车辆互联网技术。它可以将其交通信息收集任务挤进在路上运行的车辆,而不是在每个角落安装相机。首先,我们设计了一个基于区块链的轻质信息交易框架,以建模交通管理与车辆之间的交互。它保证执行交易期间的可靠性,效率和安全性。其次,我们定义了该系统中实体的实用程序功能,并提出了预算的拍卖机制,该机制激发了车辆积极执行收集任务。在我们的算法中,它不仅可以确保向选定车辆的总付款不超过给定的预算,而且还保持拍卖过程的真实性,避免了某些车辆提供虚幻的出价,以获取更大的公用事业。最后,我们进行了一组数值模拟,以评估我们的交易框架和算法性能的可靠性,其结果表明了它们的正确性和效率。

The real-time traffic monitoring is a fundamental mission in a smart city to understand traffic conditions and avoid dangerous incidents. In this paper, we propose a reliable and efficient traffic monitoring system that integrates blockchain and the Internet of vehicles technologies effectively. It can crowdsource its tasks of traffic information collection to vehicles that run on the road instead of installing cameras in every corner. First, we design a lightweight blockchain-based information trading framework to model the interactions between traffic administration and vehicles. It guarantees reliability, efficiency, and security during executing trading. Second, we define the utility functions for the entities in this system and come up with a budgeted auction mechanism that motivates vehicles to undertake the collection tasks actively. In our algorithm, it not only ensures that the total payment to the selected vehicles does not exceed a given budget, but also maintains the truthfulness of auction process that avoids some vehicles to offer unreal bids for getting greater utilities. Finally, we conduct a group of numerical simulations to evaluate the reliability of our trading framework and performance of our algorithms, whose results demonstrate their correctness and efficiency perfectly.

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