Exploring the hidden connectivity in urban vehicular networks

Kebin Liu, Mo Li, Yunhao Liu, Xiangyang Li, Minglu Li, Huadong Ma
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引用次数: 16

Abstract

The high mobility of VANET makes information exchange across the network excessively difficult. Traditional approaches designed for stationary networks are not applicable due to the high dynamics among the nodes. Applying the routing techniques tailored for general mobile networks inevitably brings huge traffic burden to the crowded urban VANET and leads to low efficiency. To make the information exchange fluent and efficient, we explore the unique features of the urban VANET. By exploring the invariants in the mobile network topology, we are able to efficiently manage the information on top of the “intersection graph” transformed from the underlying network of road segments in the urban area. Our approach can thus achieve efficient query dissemination and data retrieval on this information organization. We intensively investigate and analyze a trace that records the movement of more than 4000 taxies in the urban area of Shanghai City over several months. We grasp the key impact of the fundamental factors that affect the VANET behaviors and accordingly develop tailored techniques to maximize the performance of this design. Experimental results validate the effectiveness and efficiency of our design.
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探索城市车辆网络中的隐藏连接
VANET的高移动性使得跨网络的信息交换异常困难。由于静态网络节点间的高度动态性,传统的静态网络设计方法不适用。采用针对通用移动网络的路由技术,必然会给拥挤的城市VANET带来巨大的流量负担,导致效率低下。为了使信息交换更加流畅和高效,我们探索了城市VANET的独特之处。通过探索移动网络拓扑中的不变量,我们能够有效地管理从城市区域的底层路段网络转换而来的“交叉口图”顶部的信息。因此,我们的方法可以在该信息组织上实现高效的查询分发和数据检索。我们对上海市区4000多辆出租车在几个月内的行驶轨迹进行了深入调查和分析。我们掌握了影响VANET行为的基本因素的关键影响,并相应地开发了量身定制的技术,以最大限度地提高该设计的性能。实验结果验证了设计的有效性和高效性。
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