RSU-based real-time data access in dynamic vehicular networks

Kai Liu, V. Lee
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引用次数: 57

Abstract

Recently, data dissemination in vehicular networks has received considerable attention. In particular, there has been significant interest in accessing information stored at RSUs (Roadside Units). Although data access has been extensively studied in the network community, unique characteristics in vehicular networks bring us new challenges. First, the RSU provides both safety-critical and non-safety-critical services, which should be differentiated. Second, due to the limited communication range covered by RSUs, information must be provided in time to be accessed by passing vehicles. Last but not least, in a typical vehicular network, the traffic characteristics such as vehicle arrival rate, dwell time and data access pattern change from time to time, which require special efforts in information delivery to gain satisfactory performance. This paper first proposes a data dissemination framework supported by the RSU, in which an adaptable data dissemination method is presented. Next, we derive an analytical model to form the basis of performance evaluation. Last, we present a series of evaluation results to examine the system performance in dynamic traffic environments. The results not only demonstrate the effectiveness of the adaptable data dissemination mechanism, but also explore novel features of data dissemination in dynamic vehicular networks, which give insights into new research problems.
动态车辆网络中基于rsu的实时数据访问
近年来,车载网络中的数据传播受到了广泛关注。特别是,人们对获取储存在路边单位(rsu)的信息非常感兴趣。尽管网络学界对数据访问进行了广泛的研究,但车载网络的独特特性给我们带来了新的挑战。首先,RSU既提供安全关键型服务,也提供非安全关键型服务,两者应加以区分。其次,由于rsu覆盖的通信范围有限,必须及时提供信息,以便过往车辆访问。最后,在典型的车联网中,车辆到达率、停留时间和数据访问模式等交通特征是不断变化的,这就需要在信息传递方面付出特殊的努力才能获得满意的性能。本文首先提出了一种基于RSU的数据传播框架,其中提出了一种自适应的数据传播方法。其次,我们推导了一个分析模型,以形成绩效评估的基础。最后,我们给出了一系列的评估结果来检验系统在动态交通环境中的性能。研究结果不仅证明了自适应数据传播机制的有效性,而且探索了动态车辆网络中数据传播的新特征,为新的研究问题提供了见解。
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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