On reliability analysis of leader election protocols for virtual traffic lights

Negin Fathollahnejad, E. Villani, R. Pathan, R. Barbosa, J. Karlsson
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引用次数: 20

Abstract

This paper addresses the problem of leader election in virtual traffic lights. A virtual traffic light (VTL) is a self-organizing traffic control system that allows road vehicles equipped with vehicle-to-vehicle communication facilities to implement the function of a traffic light without the support of a roadside installation. Previous research has shown that it is impossible to construct a leader election protocol that guarantees agreement among the participating vehicles in the presence of massive communication failures. The paper addresses the problem of calculating the probability of disagreement in situations where a large number of protocol messages are lost due to communication interference, so-called communication grey-outs. To this end, we present a probabilistic analysis of a family of simple round-based consensus algorithms that solve the 1-of-n selection problem. We propose to use these algorithms for the core logic of a VTL leader election protocol (LEP). Our analysis shows that the probability of disagreement depends on: i) the number of vehicles involved in the leader election, ii) the number of rounds of message exchange, iii) the probability of message loss, and iv) the decision criterion used by the LEP. We propose an optimistic and a pessimistic decision criteria for the proposed 1-of-n selection algorithms. The analysis encompass two probabilistic failure models, one for symmetric communication failures and one for asymmetric communication failures.
虚拟交通灯领导选举协议的可靠性分析
本文研究了虚拟交通灯中领导者的选举问题。虚拟交通灯(virtual traffic light, VTL)是一种自组织交通控制系统,它允许配备了车对车通信设施的道路车辆在没有路边设施的支持下实现交通灯的功能。先前的研究表明,在存在大量通信故障的情况下,不可能构建一个保证参与车辆之间一致的领导者选举协议。本文解决了在由于通信干扰而丢失大量协议消息的情况下计算不一致概率的问题,即所谓的通信灰色。为此,我们提出了一组简单的基于轮的共识算法的概率分析,这些算法解决了1-of-n选择问题。我们建议将这些算法用于VTL领导者选举协议(LEP)的核心逻辑。我们的分析表明,分歧的概率取决于:i)参与领导人选举的车辆数量,ii)消息交换的轮数,iii)消息丢失的概率,以及iv) LEP使用的决策标准。对于所提出的1-of-n选择算法,我们提出了乐观和悲观的决策准则。分析包括两种概率故障模型,一种用于对称通信故障,另一种用于非对称通信故障。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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