无人机辅助雾云农村社区物联网内容服务平台

Juan Li, Shadi Alian, Maryam Sadat Amiri Tehrani Zadeh, Bikesh Maharjan, Yan Bai
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引用次数: 2

摘要

尽管社交媒体和内容正在以前所未有的规模和速度产生和共享,但由于缺乏高速互联网,世界各地的农村和欠发达地区的接入有限。将农村社区与数字世界连接起来并为他们提供合适的内容,将在城市和农村地区之间架起一座急需的桥梁。在本文中,我们提出了一种通信和信息框架,该框架在农村社区中利用简单的物联网(IoT)来协助延迟容忍内容分发。具体而言,通过部署低端简单雾节点,利用社区车辆的运动,构建混合雾云内容分发网络。此外,无人机用于按需分发内容,作为延迟容忍网络的补充,具有更好的交付率和更低的延迟时间。提出了一种新的无人机调度算法,对无人机的行程进行最优规划。已经进行了大量的仿真实验来评估所提出的框架的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Drone-Assisted Fog-Cloud IoT Content Service Platform for Rural Communities
Although social media and contents are being generated and shared with an unprecedented scale and speed, rural and underdeveloped areas throughout the world have only limited access due to the lack of high-speed Internet. Connecting rural communities to the digital world and providing them with right contents will provide the much-needed bridge between urban and rural areas. In this paper, we propose a communication and information framework that utilizes simple Internet of Things (IoT) in a rural community to assist delay-tolerant content distribution. Specifically, a hybrid fog-cloud content distribution network is constructed by deploying low-end simple fog nodes and utilizing the movement of community vehicles. Moreover, drones are used to distribute content on demand as a compliment of the delay tolerant network for better delivery rate and lower delay time. A novel drone scheduling algorithm is proposed to plan drones’ tours optimally. Extensive simulation experiments have been performed to evaluate the performance of the proposed framework.
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