UAVs joint vehicles as data mules for fast codes dissemination for edge networking in Smart City

UAVs joint vehicles as data mules for fast codes dissemination for edge networking in Smart City
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无人机联合车辆作为数据骡子,用于智能城市边缘网络的快速代码传播

DOI:
10.1007/s12083-019-00752-0
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发表时间:
2019-06
影响因子:
4.2
通讯作者:
Wang Tian
Wang Tian
中科院分区:
计算机科学4区
文献类型:
--
作者:
Hu Lang;Liu Anfeng;Xie M;e;Wang Tian

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随着软件定义技术的迅速发展,新兴多媒体应用蓬勃发展,这些应用需要通过设备进行实时通信和计算。同时,多媒体应用中的程序代码需要定期更新,以适应边缘网络环境的变化。因此,部署在智慧城市基础设施中的大量智能传感设备可以发挥比以往更大的作用,因为它们在多媒体应用中的程序代码可以通过传感数据进行更新。然而,如何将程序代码以低成本和快速的方式传播到大量分布在智慧城市中的设备上是一个具有挑战性的问题。为了解决这一问题,本文提出了一种无人机联合车辆作为数据骡子的快速代码传播(UVDCD)方案,为智慧城市边缘网络提供一种快速、低成本的代码传播模式。在UVDCD方案中,首先,智慧城市中的大量车辆充当了代码传播的“骡子”。虽然该方法成本低,可以快速覆盖大部分网络,但该方法存在一个很长的拖尾现象,即在代码传播初期,随着时间的推移,代码传播率迅速增加,效率很高,但经过很短的时间后,随着时间的推移,代码传播率的增加变得非常缓慢。因此,在这种情况下,使用无人机来传播车辆难以传播的智能设备的程序代码,从而消除了代码传播中的尾随现象。为了使无人机具有较高的传播效率,首先对未接收到代码的设备节点进行聚类,然后基于聚类选择优化后的无人机飞行轨迹,使无人机飞行路径总长度最短,即成本最低,且可接收到代码的设备数量最多。最后,基于真实车辆数据验证了UVDCD方案的有效性,并通过实验验证了该方案能够有效克服无人机使用后代码传播中的尾随现象。覆盖率和传播速度均高于以往策略,分别提高2.11%和69.44%。
With the rapid development of software-defined technologies, emerging multimedia applications are booming, which require real-time communication and computation via devices. Meanwhile, the program codes in multimedia applications need to be updated periodically to accommodate changes in the edge networking environment. Therefore, a huge number of smart sensing devices which are deployed in the infrastructures of smart city can play a bigger role than ever before due to their program codes in multimedia applications can be updated by sensing data. However, how to spread program codes to a large amount of devices which are distributed in smart city in a low-cost and fast way is a challenging issue. To solve the issue, in this paper, an Unmanned Aerial Vehicles (UAVs) joint Vehicles as Data Mules for Fast Codes Dissemination (UVDCD) scheme is proposed to spread codes as a fast and low-cost pattern for edge networking in smart city. In UVDCD scheme, first of all, large amount of vehicles in smart city act as mules for code dissemination. Although the cost of the method is low and can quickly cover most networks, there is a very long trailing phenomenon for this approach, i.e. in the early stage of code dissemination, the code dissemination rate increases rapidly over time and have a high efficiency, but after a short time, the increase of code dissemination rate has become very slowly over time. So, in this situation, the unmanned aerial vehicle is used to spread the program codes of intelligent devices where vehicles are hard to spread, thereby eliminating the trailing phenomenon in code dissemination. In order to achieve a high dissemination efficiency for UAV, first, we cluster the device nodes which have not received codes, then we select the optimized UAV flight trajectory based on the cluster so that the total length of the UAV flight path is the shortest, i.e. low-cost, and the number of devices which can receive codes is the largest. Finally, the validity of UVDCD scheme is confirmed based on real vehicle data, and through experiments, it can effectively overcome the trailing phenomenon in code dissemination after using UAV. The coverage ratio and dissemination speed are higher than those of previous strategies and increase 2.11% and 69.44% respectively.
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影响因子: 6.8
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发表时间: 2018
期刊: Complexity
影响因子: 2.3
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