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首页> 外文期刊>Future generation computer systems >Efficient data request answering in vehicular Ad-hoc networks based on fog nodes and filters
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Efficient data request answering in vehicular Ad-hoc networks based on fog nodes and filters

机译：基于雾节点和过滤器的车载自组织网络中的高效数据请求应答

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摘要

Vehicles in urban city are equipped with more and more sensing units, and sensed data are continuously generated in large amount. These sensed data could be filtered and preprocessed before being shared or uploaded to the road side units and the cloud for efficiency. In this paper we propose a filter based framework called FERA (Filter-based Efficient Request Answering), which combines the concept of fog computing and vehicular sensing, and adopts the pull/push strategies to adaptively and efficiently gather the requested data in vehicular ad hoc networks. Filters are defined based on the ratio of cost between the push and the pull methods to control the passage or blockage of the data readings. Moreover, filter cubes are defined to manage large number of filters, where efficient algorithms are developed to construct, update and store the filter cubes so that the matched data readings are pushed upward and unmatched data readings are blocked effectively. Extended simulated experiments demonstrate the proposed scheme has a much higher success ratio of request answering than existing schemes, e.g. REED (Abadiet al., 2005) and GeoVanet (Delotet al., 2011). Up to 94 percent of the requests could be successfully processed, while at the same time maintaining a relatively low query cost. (C) 2018 Elsevier B.V. All rights reserved.
机译：市区的车辆配备了越来越多的传感单元，并且不断生成大量传感数据。这些感测到的数据可以在共享或上传到路边单元和云之前进行过滤和预处理，以提高效率。在本文中，我们提出了一个基于过滤器的框架，称为FERA（基于过滤器的有效请求应答），该框架结合了雾计算和车辆感知的概念，并采用了拉/推策略来自适应，高效地收集车辆临时请求的数据。网络。根据推和拉方法之间的成本比来定义过滤器，以控制数据读数的通过或阻塞。此外，定义了过滤器多维数据集以管理大量过滤器，在此开发了有效的算法来构造，更新和存储过滤器多维数据集，以便向上推匹配的数据读数，并有效阻止未匹配的数据读数。扩展的模拟实验表明，与现有方案相比，该方案具有更高的请求应答成功率。 REED（Abadiet等，2005）和GeoVanet（Delotet等，2011）。可以成功处理多达94％的请求，同时保持相对较低的查询成本。 （C）2018 Elsevier B.V.保留所有权利。

著录项

  • 来源
    《Future generation computer systems》 |2019年第4期|130-142|共13页
  • 作者

    Lai Yongxuan; Lin Hailin; Yang Fan; Wang Tian;

  • 作者单位

    Xiamen Univ, Sch Software, Xiamen 360000, Peoples R China|Xiamen Univ, Shenzhen Res Inst, Shenzhen 518000, Peoples R China;

    Xiamen Univ, Sch Software, Xiamen 360000, Peoples R China;

    Xiamen Univ, Shenzhen Res Inst, Shenzhen 518000, Peoples R China|Xiamen Univ, Dept Automat, Xiamen 360000, Peoples R China;

    Huaqiao Univ, Coll Comp Sci & Technol, Xiamen 361021, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Push/pull; Data gathering; Filter cube; Fog nodes; VANET;

    机译：推/拉;数据收集;过滤器多维数据集;雾节点;VANET;

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