Selective message relaying for multi-hopping vehicular networks

Bengi Aygün, Chung-Wei Lin, Shin'ichi Shiraishi, A. Wyglinski
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引用次数: 4

Abstract

Multi-hopping vehicular networks (VANETs) provide environmental awareness across large regions even if there does not exist direct communication between several vehicles within the region. However, the volume of messages that are received and rebroadcasted via the relay vehicles can cause broadcast storms and network jams. In this paper, we propose a selective message relaying algorithm to enable efficient information sharing of multi-hopping VANETs. The proposed algorithm is very general so that it can be applied to many real-world applications. We use a clustering mechanism to group messages that include the same or very similar information, and the number of clusters is adaptively varied based on the proximity of the messages. Supported by the clustering mechanism, each relay vehicle only rebroadcasts a few messages from each cluster. Numerical results show that the proposed algorithm reduces 75% message rebroadcasting but still keeps 98% environmental awareness on average. It can support trade-off analysis between design metrics and assist in future system-level design.
多跳车辆网络的选择性消息中继
多跳车辆网络(VANETs)可以在大范围内提供环境意识,即使该区域内的几辆车之间没有直接通信。然而,通过中继车辆接收和重新广播的消息量可能导致广播风暴和网络阻塞。为了实现多跳vanet的高效信息共享,本文提出了一种选择性消息中继算法。所提出的算法是非常通用的,因此它可以应用于许多现实世界的应用。我们使用集群机制对包含相同或非常相似信息的消息进行分组,并且集群的数量根据消息的接近度自适应地变化。在集群机制的支持下,每个中继车辆只重广播来自每个集群的少量消息。数值结果表明,该算法在平均保持98%的环境意识的基础上,减少了75%的消息重播。它可以支持设计度量之间的权衡分析,并在未来的系统级设计中提供帮助。
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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