车载Ad-Hoc网络中的分布式相对协同定位

M. Alotaibi, A. Boukerche, H. Mouftah
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引用次数: 8

摘要

我们提出了一种分布式相对协同定位算法(ReCoP),该算法计算与网络中其他车辆的相对位置。ReCoP不依赖于固定的参考节点或基础设施,也不依赖于全球导航卫星系统(GNSS)的读数。相反,一跳连接邻居的每一组中的一个节点为组成员建立相对映射。然后,当消息(例如警告消息)到达具有网关责任的车辆时,坐标转换为不同的相对地图所识别。该方法可用于数据传播,以减少由于重复重传造成的广播风暴问题。将其与本地自定位(LSP)进行了比较,LSP是指每辆车单独建立自己的本地相对地图。根据不同的通信密度、传输范围和传输速度对所提出的算法ReCoP的性能进行了评估。仿真结果表明,与LSP相比,ReCoP计算相对位置的精度更高。与LSP相比,ReCoP具有可扩展性、鲁棒性和灵活性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Distributed relative cooperative positioning in Vehicular Ad-Hoc Networks
We propose a distributed Relative Cooperative Positioning algorithm (ReCoP) that computes the position in relation to other vehicles in the network. ReCoP does not depend on fixed reference node/s or infrastructure, and it is independent of Global Navigation Satellite System (GNSS) reading. Instead one node in each group of one-hop connected neighbours establishes relative map for group members. Then when messages (e.g., warning messages) arrive to the vehicle with gateway responsibility, the coordinates transform to be recognized by different relative maps. This approach can be utilized in data dissemination to reduce broadcast storm problem due to redundant retransmissions. It has been compared with the Local Self Positioning (LSP) in which each vehicle individually builds its own local relative map. The performance of the proposed algorithm, ReCoP, has been evaluated with respect to different traffic density, transmission range, and speed. The simulation results illustrate that ReCoP computes the relative position with more precision than LSP. It also demonstrates the scalability, robustness, and flexibility of the proposed ReCoP compared to LSP.
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