Minimum end-to-end transmission delay based routing algorithm for VANETs

Shangxin Peng, Rong Chai, Qianbin Chen, Yuanzheng Qin
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引用次数: 3

Abstract

Vehicular ad hoc networks (VANETs) are expected to offer both safety-related applications and user applications for vehicular users. In this paper, we consider a VANET scenario where one source vehicle (SV) tends to transmit real-time messages such as security related information to its destination vehicle (DV). We assume that the DV is out of the one hop range of the SV, and study the routing algorithm between the SV and DV. Stressing the importance of transmission delay, we formulate the end-to-end transmission delay between the SV and DV as the total transmission delay experienced at intermediate relay vehicles (RVs) along the transmission route, and design an optimization problem which minimizes the end-to-end transmission delay subject to routing selection constraints. To tackle the difficulties in evaluating the transmission performance of intermediate RVs, we apply stochastic network calculus theory. By modeling the stochastic arrival curve of the SV and the stochastic service curve of the RVs, the transmission delay at each intermediate RV can be examined. We then map the network scenario as a weighted graph and apply Dijkstra algorithm to obtain the optimal route between the SV and DV. Numerical results demonstrate the effectiveness of the proposed algorithm.
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基于最小端到端传输延迟的VANETs路由算法
车辆自组织网络(vanet)有望为车辆用户提供安全相关应用和用户应用。在本文中,我们考虑了一个VANET场景,其中一个源车辆(SV)倾向于向其目的车辆(DV)传输实时消息,如安全相关信息。假设DV在SV的一跳范围之外,研究了SV和DV之间的路由算法。强调传输延迟的重要性,将SV和DV之间的端到端传输延迟表述为中间中继车(rv)沿传输路径经历的总传输延迟,并设计了在路由选择约束下端到端传输延迟最小化的优化问题。为了解决中间rv传输性能评估的困难,我们应用随机网络演算理论。通过对SV的随机到达曲线和RV的随机服务曲线进行建模,可以检验每个中间RV的传输延迟。然后,我们将网络场景映射为加权图,并应用Dijkstra算法获得SV和DV之间的最优路由。数值结果表明了该算法的有效性。
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