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

A novel code data dissemination scheme for Internet of Things through mobile vehicle of smart cities
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智慧城市移动车辆物联网代码数据传播新方案

DOI:
10.1016/j.future.2018.11.039
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发表时间:
2019-05
影响因子:
7.5
通讯作者:
Liu Xuxun
Liu Xuxun
中科院分区:
计算机科学2区
文献类型:
--
作者:
Teng Haojun;Liu Yuxin;Liu Anfeng;Xiong Neal N.;Cai Zhiping;Wang Tian;Liu Xuxun

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越来越多的基于传感器的设备被部署到各种应用中,以收集大量数据来了解世界,这构成了智慧城市的无处不在的传感物联网(IoT)。同时,软件定义技术也被广泛应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软件获得新功能并变得更智能。这些基于传感器的设备可以被称为智能传感器,因为它们可以生成智能数据(这意味着过滤掉噪音并保留有价值的数据)。这些智能传感器可以适应新应用的需求,形成智能软件定义的物联网。然而,如何将更新代码传播到分布广泛、数量庞大的智能传感器是一个巨大的挑战。我们发现,城市中有成千上万的移动车辆,它们可以作为代码骡子,以低成本传播代码。本文提出了一种新的低成本代码传播模型,利用城市中的移动车辆以机会主义的传播方式传播更新代码。为了提高代码分发模型的性能,提出了一种基于覆盖的贪婪码站部署方案和优化的码选算法,以低成本、低持续时间实现代码分发在城市的覆盖最大化。大量的仿真实验验证了所提出的代码传播模型的可行性,并通过一个真实的出租车轨迹数据集验证了所提出方案的有效性。
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.
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