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首页> 外文期刊>Mathematical Problems in Engineering >Multicriteria Based Next Forwarder Selection for Data Dissemination in Vehicular Ad Hoc Networks Using Analytical Network Process
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Multicriteria Based Next Forwarder Selection for Data Dissemination in Vehicular Ad Hoc Networks Using Analytical Network Process

机译：使用分析网络过程的车辆自组织网络中基于多准则的下一转发器选择，用于数据分发

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摘要

Vehicular ad hoc network (VANET) is a wireless emerging technology that aims to provide safety and communication services to drivers and passengers. In VANETs, vehicles communicate with other vehicles directly or through road side units (RSU) for sharing traffic information. The data dissemination in VANETs is a challenging issue as the vehicles have to share safety critical information in real time. The data distribution is usually done using broadcast method resulting in inefficient use of network resources. Therefore, to avoid the broadcast storm and efficiently use network resources, next forwarder vehicle (NFV) is selected to forward data to nearby vehicles. The NFV selection is based on certain parameters like direction, distance, and position of vehicles, which makes it a multicriteria decision problem. In this paper, analytical network process (ANP) is used as a multicriteria decision tool to select the optimal vehicle as NFV. The stability of alternatives (candidate vehicles for NFV selection) ranking is checked using sensitivity analysis for different scenarios. Mathematical formulation shows that ANP method is applicable for NFV selection in VANETs. Simulation results show that the proposed scheme outperforms other state-of-the-art data dissemination schemes in terms of reachability, latency, collisions, and number of transmitted and duplicate data packets.
机译：车载自组织网络（VANET）是一种无线新兴技术，旨在为驾驶员和乘客提供安全和通信服务。在VANET中，车辆直接或通过路边单元（RSU）与其他车辆通信以共享交通信息。 VANET中的数据传播是一个具有挑战性的问题，因为车辆必须实时共享安全关键信息。通常使用广播方法进行数据分发，导致网络资源的低效使用。因此，为了避免广播风暴并有效利用网络资源，选择了下一个转发器车辆（NFV）将数据转发到附近的车辆。 NFV选择基于某些参数，例如车辆的方向，距离和位置，这使其成为多准则决策问题。在本文中，分析网络过程（ANP）被用作选择最佳车辆作为NFV的多标准决策工具。使用敏感性分析针对不同场景检查替代方案（用于选择NFV的候选车辆）排名的稳定性。数学公式表明，ANP方法适用于VANET中的NFV选择。仿真结果表明，该方案在可达性，等待时间，冲突以及已发送和重复数据包的数量方面优于其他最新的数据分发方案。

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  • 来源
    《Mathematical Problems in Engineering》 |2017年第9期|4671892.1-4671892.18|共18页
  • 作者

    Latif Shahid; Mahfooz Saeed; Jan Bilal; Ahmad Naveed; Farman Haleem; Khan Murad; Javed Huma;

  • 作者单位

    Sarhad Univ Sci & IT, Dept Comp Sci & IT, Peshawar, Pakistan;

    Univ Peshawar, Dept Comp Sci, Peshawar, Pakistan;

    Sarhad Univ Sci & IT, Dept Comp Sci & IT, Peshawar, Pakistan;

    Univ Peshawar, Dept Comp Sci, Peshawar, Pakistan;

    Univ Peshawar, Dept Comp Sci, Peshawar, Pakistan;

    Sarhad Univ Sci & IT, Dept Comp Sci & IT, Peshawar, Pakistan;

    Univ Peshawar, Dept Comp Sci, Peshawar, Pakistan;

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