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Harnessing Vehicle-to-Vehicle Communications for 3G Downloads on the Move

机译:利用车对车通信进行移动3G下载

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This paper studies the problem of 3G downloads in vehicles on the move. Although the 3G brings larger coverage and instant access to data transfer, it may also incur high cost. We observe that many applications of vehicular 3G users can actually tolerate certain data access latency. In addition, vehicle-to-vehicle communications have been practical and can be exploited for intervehicle data delivery. Based on these observations, we propose to augment vehicular 3G users by data sharing through vehicle-to-vehicle communications. We formulate an optimization problem. The objective is to minimize the cost of 3G data communications, meanwhile maximizing the success probability of downloading all 3G user data. The two-hop transmission process and the bandwidth limitation in vehicular network are both modeled in the optimization problem. To lower the cost of 3G and meet the delivery ratio and delay constraints of data, one single-stage algorithm and one multistage algorithm are proposed for selection of seed vehicles (that download the data via 3G channel). We have evaluated our algorithm with simulations with real vehicular traces and the results show that our algorithms reduce the 3G cost and achieve good performance of data downloads.
机译:本文研究了在行驶中的车辆中3G下载的问题。尽管3G带来了更大的覆盖范围和即时访问数据传输的能力,但也可能会导致高昂的成本。我们观察到,车载3G用户的许多应用实际上可以容忍某些数据访问延迟。另外,车辆到车辆的通信是实用的,并且可以用于车辆之间的数据传递。基于这些观察,我们建议通过通过车对车通信进行数据共享来增加车辆3G用户。我们提出一个优化问题。目的是最小化3G数据通信的成本,同时最大程度地下载所有3G用户数据的成功概率。在优化问题中,对车辆网络中的两跳传输过程和带宽限制都进行了建模。为了降低3G的成本并满足数据的传递率和延迟约束,提出了一种单阶段算法和一种多阶段算法来选择种子车辆(通过3G通道下载数据)。我们已经通过对具有真实车辆轨迹的仿真对我们的算法进行了评估,结果表明我们的算法降低了3G成本并获得了良好的数据下载性能。

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