Autonomic data dissemination in highway Vehicular Ad Hoc Networks with diverse traffic conditions
Autonomic data dissemination in highway Vehicular Ad Hoc Networks with diverse traffic conditions
复制标题
具有不同交通条件的高速公路车载自组织网络中的自主数据传播
DOI：
10.1109/iscc.2014.6912549
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发表时间：
2014
期刊：
影响因子：
--
通讯作者：
L. Villas
中科院分区：
文献类型：
--
作者：
Rodolfo Ipolito Meneguette;Guilherme Maia;E. Madeira;A. Loureiro;L. Villas
车载自组织网络（VANET）是移动的自组织网络的一个子类，其提供车辆之间以及车辆与路边单元之间的无线通信。为驾驶员和乘客提供安全、交通效率和用户舒适度是这些网络的有希望的目标。为了实现这些目标，许多设想中的VANESCO应用程序将依赖于数据传播，将这项任务转变为一项基本服务。然而，由于VANESTs的一些固有特性，如间歇性连接，高度动态的拓扑结构，和不同的网络密度，数据分发是一个具有挑战性的活动，在这种网络。虽然文献中已经广泛地研究了数据传播，但是当一起考虑时，现有的解决方案不能有效地解决广播风暴和网络分区问题。为了解决这两个问题，我们提出了一个网络分区感知的地理数据分发协议，它消除了广播风暴，最大限度地提高了跨网络分区的数据分发能力，具有短延迟和低开销。所提出的算法是能够在网络中的消息传输的经验调整。仿真结果表明，我们提出的方法提供了良好的效率方面的事件处理，延迟和开销的覆盖率。
A Vehicular Ad Hoc Network (VANET) is a subclass of Mobile Ad Hoc Networks, which provides wireless communication among vehicles as well as between vehicles and roadside units. Providing safety, traffic efficiency and user comfort for drivers and passengers are promising goals of these networks. To reach these goals many envisaged applications for VANETs will rely on data dissemination, turning this task into an essential service. However, due to some inherent characteristics of VANETs, such as intermittent connectivity, highly dynamic topology, and diverse network densities, data dissemination is a challenging activity in this kind of network. Although data dissemination has been extensively studied in the literature, existing solutions do not effectively address the broadcast storm and network partition problems when considered together. To deal with both problems, we propose a network partition-aware geographical data dissemination protocol, which eliminates the broadcast storm and maximizes the data dissemination capability across network partitions with short delays and low overhead. The proposed algorithm is able to autonomically adjust message transmissions in the network. Simulation results show that our proposed approach provides good efficiency with respect to the coverage of event processing, delay and overhead.
影响因子：
12.9
作者：
Tonguz, Ozan K.;Wisitpongphan, Nawaporn;Bai, Fan
通讯作者：
Bai, Fan