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MMCD: Cooperative Downloading for Highway VANETs

机译:MMCD:高速公路兽医的合作下载

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摘要

Advances in low-power wireless communications and micro-electronics make a great impact on a transportation system and pervasive deployment of road-side units (RSU) is promising to provide drive-thru Internet to vehicular users anytime and anywhere. Downloading data packets from the RSU, however, is not always reliable because of high mobility of vehicles and high contention among vehicular users. Using inter-vehicle communication, cooperative downloading can maximize the amount of data packets downloaded per user request. In this paper, we focus on effective data downloading for real-time applications (e.g., video streaming, online game) where each user request is prioritized by the delivery deadline. We propose a cooperative downloading algorithm, namely MMCD, which minimizes an average delivery delay of each user request while maximizing the amount of data packets downloaded from the RSU. The performance of MMCD is evaluated by extensive simulations and results demonstrate that our algorithm can reduce mean delivery delay while gaining downloading throughput as high as that of a state-of-the-art method although vehicles highly compete for access to the RSU in a conventional highway scenario.
机译:在低功耗的无线通信和微电子的进步,使得交通系统和路边单位普遍部署(RSU)的影响很大承诺,将提供驾驶通过互联网向车辆用户随时随地。然而,从RSU下载数据包并不总是可靠的,因为车辆的高流动性和车辆用户之间的高争用。使用车辆间通信,协作下载可以最大化根据用户请求下载的数据包量。在本文中,我们专注于有效的数据下载用于实时应用程序(例如,视频流,在线游戏),其中每个用户请求由交付截止日期优先考虑。我们提出了一种合作下载算法,即MMCD,其最小化每个用户请求的平均传送延迟,同时最大化从RSU下载的数据包量。 MMCD的性能是通过大量的模拟评估,结果表明,同时获得下载我们的算法可以降低平均延迟交付吞吐量一样高的国家的最先进的方法,虽然车高在传统的竞争进入RSU的高速公路场景。

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