Minimum-delay routing in single lane express way CR-VANET

Chuhao Fu, Xinghua Wu
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引用次数: 1

Abstract

CR-VANET (Cognitive radio-vehicular Ad-Hoc Network) can mitigate channel resource shortage and congestion in VANET. For CR-VANET, with the consideration of fast topology changes and Pus'activities, the existing routing protocols or schemes in VANET or cognitive radio networks (CRAHNs) can not be directly applied into CR-VANET. Therefore, we propose a jointly routing algorithm of CRVANET in urban single-lane expressway for minimizing end-to-end delay (MDCR-VANET). With the consideration of characters of single-lane urban expressway and delay in CRAHNs and VANET, we formulate the objective function as non-linear integer programming, which is NP-hard. Our algorithm uses the geography based greedy forwarding method to ensure the minimum transmission delay and store-forward delay. For the channle selection, we propose a heuristic method to select appropriate channel. Through extensive simulations and comparisons of stateof-the-art protocols, we prove that our algorithm can achieve less end-to-end delay.
单车道高速公路CR-VANET的最小延迟路由
认知无线车载自组织网络(Cognitive radio-vehicular Ad-Hoc Network, CR-VANET)可以缓解VANET中的信道资源短缺和拥塞问题。对于CR-VANET,考虑到拓扑结构的快速变化和Pus的活动,现有的路由协议或方案在VANET或认知无线网络(CRAHNs)中不能直接应用于CR-VANET。为此,我们提出了一种城市单车道高速公路上最小化端到端延迟的联合路由算法(MDCR-VANET)。考虑到单车道城市快速路的特点以及高速公路和高速公路的延迟,将目标函数化为非线性整数规划,具有np困难。该算法采用基于地理的贪婪转发方法,以保证最小的传输延迟和存储转发延迟。对于信道选择,我们提出了一种启发式方法来选择合适的信道。通过大量的模拟和比较最先进的协议,我们证明了我们的算法可以实现更少的端到端延迟。
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