Path Selection Algorithms for Multi-Hop VANETs

Chulhee Jang, Jae Hong Lee
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引用次数: 8

Abstract

In this paper, we introduce a collision model for vehicular cluster and we propose path selection algorithms for multi-hop VANETs. That is, we propose the intuitive algorithm named range-aware broadcasting (RAB), the collisions minimized optimal path selection algorithm (CM-Opt), SNR-guaranteed optimal path selection algorithm (SNRG-Opt), low-complexity SNR-guaranteed path selection algorithm (Low-SNRG), and distributed algorithms to reduce the number of collisions and/or reduce the complexity. We show that Low-SNRG has same performance as SNRG-Opt. Through computer simulations, it is shown that the proposed algorithms reduce the number of collision significantly. Also, it is shown that Low-SNRG has almost same average number of collisions as CM-Opt in spite of its low complexity. Also, the distributed path selection algorithm has similar performance to the non-distributed algorithms.
多跳vanet的路径选择算法
本文引入了一种车辆集群的碰撞模型,并提出了多跳vanet的路径选择算法。也就是说,我们提出了直观的距离感知广播(RAB)算法、碰撞最小化最优路径选择算法(CM-Opt)、保证信噪比的最优路径选择算法(SNRG-Opt)、低复杂度保证信噪比的路径选择算法(低snrg)和分布式算法来减少碰撞次数和/或降低复杂性。我们证明Low-SNRG与SNRG-Opt具有相同的性能。计算机仿真结果表明,所提出的算法显著减少了碰撞次数。此外,低snrg算法的平均碰撞次数与CM-Opt算法几乎相同,尽管其复杂度较低。分布式路径选择算法与非分布式路径选择算法具有相似的性能。
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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