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A novel code data dissemination scheme for Internet of Things through mobile vehicle of smart cities

机译:一种通过智能城市移动车辆进行物联网的新型代码数据分发方案

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摘要

More and more sensor-based devices are deployed for various applications to collect a huge amount of data for understanding the world, which constitute ubiquitous sensing Internet of Things (IoT) for smart cities. At the same time, Software-defined technology is also widely used in sensor-based devices. These sensor-based devices can get new functions and become smarter by updating their software. These sensor-based devices can be called smart sensors because they can generate smart data (which means filter out the noise and hold the valuable data). These smart sensors can adapt to the needs of new applications and form smart software-defined IoTs. However, it is a huge challenging issue that disseminating the update code to the smart sensors that are widespread and large quantity. We found that there are hundreds and thousands of mobile vehicles moving in the city, which can be used as the code mules to disseminate code with low cost. In this paper, a novel low-cost code dissemination model is proposed which disseminate the update code by using the mobile vehicles in the city with an opportunistic communication style. In order to improve the performance of such code dissemination model, a coverage based greedy deployment scheme for code stations and an optimized code selection algorithm are proposed to maximize coverage of code dissemination over the city with low cost and duration time. Extensive simulation experiments validate the proposed code dissemination model is feasible and indicate the effectiveness of the proposed schemes by using a real taxi trajectory dataset. (C) 2018 Elsevier B.V. All rights reserved.
机译:越来越多的基于传感器的设备被部署到各种应用程序中,以收集大量数据以了解世界,这些数据构成了智慧城市中无处不在的物联网(IoT)。同时,软件定义的技术也广泛用于基于传感器的设备中。这些基于传感器的设备可以通过更新其软件来获得新功能并变得更加智能。这些基于传感器的设备可以称为智能传感器,因为它们可以生成智能数据(这意味着滤除噪声并保存有价值的数据)。这些智能传感器可以适应新应用程序的需求,并形成智能软件定义的IoT。然而,将更新代码传播到广泛且大量的智能传感器是一个巨大的挑战性问题。我们发现,城市中有成千上万的移动车辆在行驶,它们可以用作代码mu以低成本传播代码。本文提出了一种新颖的低成本代码分发模型,该模型通过使用机会通信方式的城市中的移动车辆来分发更新代码。为了提高这种代码分发模型的性能,提出了基于覆盖率的代码站贪婪部署方案和优化的代码选择算法,以低成本和持续时间最大化城市上的代码分发覆盖率。大量的仿真实验验证了所提出的代码传播模型是可行的,并通过使用真实的滑行轨迹数据集表明了所提出的方案的有效性。 (C)2018 Elsevier B.V.保留所有权利。

著录项

  • 来源
    《Future generation computer systems》 |2019年第5期|351-367|共17页
  • 作者单位

    Cent S Univ, Sch Informat Sci & Engn, Changsha 410083, Hunan, Peoples R China;

    Cent S Univ, Sch Informat Sci & Engn, Changsha 410083, Hunan, Peoples R China;

    Cent S Univ, Sch Informat Sci & Engn, Changsha 410083, Hunan, Peoples R China|Jiangsu High Technol Res Key Lab Wireless Sensor, Nanjing 210003, Jiangsu, Peoples R China;

    Northeastern State Univ, Dept Math & Comp Sci, Tahlequah, OK 74464 USA;

    Natl Univ Def Technol, Sch Comp, Dept Network Engn, Changsha 410073, Hunan, Peoples R China;

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

    South China Univ Technol, Coll Elect & Informat Engn, Guangzhou 510641, Guangdong, 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

    Code data dissemination; Mobile vehicle; Coverage; Internet of Things; Low cost; Update duration;

    机译:代码数据发布;移动车辆;覆盖范围;物联网;低成本;更新持续时间;

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