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Cooperative Data Scheduling in Hybrid Vehicular Ad Hoc Networks: VANET as a Software Defined Network

机译:混合车辆自组织网络中的协作数据调度:VANET作为软件定义的网络

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This paper presents the first study on scheduling for cooperative data dissemination in a hybrid infrastructure-to-vehicle (I2V) and vehicle-to-vehicle (V2V) communication environment. We formulate the novel problem of cooperative data scheduling (CDS). Each vehicle informs the road-side unit (RSU) the list of its current neighboring vehicles and the identifiers of the retrieved and newly requested data. The RSU then selects sender and receiver vehicles and corresponding data for V2V communication, while it simultaneously broadcasts a data item to vehicles that are instructed to tune into the I2V channel. The goal is to maximize the number of vehicles that retrieve their requested data. We prove that CDS is NP-hard by constructing a polynomial-time reduction from the Maximum Weighted Independent Set (MWIS) problem. Scheduling decisions are made by transforming CDS to MWIS and using a greedy method to approximately solve MWIS. We build a simulation model based on realistic traffic and communication characteristics and demonstrate the superiority and scalability of the proposed solution. The proposed model and solution, which are based on the centralized scheduler at the RSU, represent the first known vehicular ad hoc network (VANET) implementation of software defined network (SDN) concept.
机译:本文提出了在混合基础设施对车辆(I2V)和车辆对车辆(V2V)通信环境中进行协作数据分发调度的第一项研究。我们制定了协作数据调度(CDS)的新问题。每个车辆将其当前相邻车辆的列表以及所获取和新请求的数据的标识符通知路边单元(RSU)。然后,RSU选择发送方车辆和接收方车辆以及用于V2V通信的相应数据,同时RSU同时将数据项广播到被指示调谐到I2V通道的车辆。目标是最大化检索其请求的数据的车辆数量。我们通过构造最大加权独立集(MWIS)问题的多项式时间约简来证明CDS是NP-hard。通过将CDS转换为MWIS并使用贪婪方法大致解决MWIS,可以做出计划决策。我们基于实际的流量和通信特性构建了一个仿真模型,并证明了所提出解决方案的优越性和可扩展性。所提出的模型和解决方案基于RSU的集中式调度程序,代表了软件定义网络(SDN)概念的第一个已知的车载自组织网络(VANET)实现。

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