首页> 外文期刊>Ad hoc networks >Dronemap Planner: A service-oriented cloud-based management system for the Internet-of-Drones
【24h】

Dronemap Planner: A service-oriented cloud-based management system for the Internet-of-Drones

机译:Dronemap Planner:面向无人机的基于服务的基于云的管理系统

获取原文
获取原文并翻译 | 示例
           

摘要

(1) Low-cost Unmanned Aerial Vehicles (UAVs), also known as drones, are increasingly gaining interest for enabling novel commercial and civil Internet-of-Things (IoT) applications. However, there are still open challenges that restrain their real-world deployment. First, drones typically have limited wireless communication ranges with the ground stations preventing their control over large distances. Second, these low-cost aerial platforms have limited computation and energy resources preventing them from running heavy applications onboard. In this paper, we address this gap and we present Dronemap Planner (DP), a service-oriented cloud-based drone management system that controls, monitors and communicates with drones over the Internet. DP allows seamless communication with the drones over the Internet, which enables their control anywhere and anytime without restriction on distance. In addition, DP provides access to cloud computing resources for drones to offload heavy computations. It virtualizes the access to drones through Web services (SOAP and REST), schedules their missions, and promotes collaboration between drones. DP supports two communication protocols: (i.) the MAVLink protocol, which is a lightweight message marshaling protocol supported by commodities Ardupilot-based drones. (ii.) the ROSLink protocol, which is a communication protocol that we developed to integrate Robot Operating System (ROS)-enabled robots into the IoT. We present several applications and proof-of-concepts that were developed using DR. We demonstrate the effectiveness of DP through a performance evaluation study using a real drone for a real-time tracking application. (C) 2018 Elsevier B.V. All rights reserved.
机译:(1)低成本无人飞行器(UAV),也称为无人机,对于启用新颖的商业和民用物联网(IoT)应用越来越感兴趣。但是,仍然存在限制其实际部署的挑战。首先,无人驾驶飞机通常与地面站之间的无线通信范围有限,从而无法控制地面距离。其次,这些低成本的空中平台具有有限的计算和能源资源,无法在机上运行繁重的应用程序。在本文中,我们解决了这一差距,并提出了Dronemap Planner(DP),这是一种面向服务的基于云的无人机管理系统,可通过Internet控制,监视和与无人机通信。 DP允许通过Internet与无人机进行无缝通信,这使得无人机可以随时随地进行控制而不受距离的限制。此外,DP为无人机提供了对云计算资源的访问,以减轻繁重的计算负担。它通过Web服务(SOAP和REST)虚拟化对无人机的访问,安排其任务,并促进无人机之间的协作。 DP支持两种通信协议:(i。)MAVLink协议,这是一种基于商品Ardupilot的无人机所支持的轻量级消息封送协议。 (ii。)ROSLink协议,这是我们开发的一种通信协议,用于将支持机器人操作系统(ROS)的机器人集成到IoT中。我们介绍了使用DR开发的几种应用程序和概念证明。我们通过使用真实无人机进行实时跟踪应用的性能评估研究来证明DP的有效性。 (C)2018 Elsevier B.V.保留所有权利。

著录项

  • 来源
    《Ad hoc networks》 |2019年第4期|46-62|共17页
  • 作者单位

    Prince Sultan Univ, Robot & Internet Things Lab RIOTU, Riyadh, Saudi Arabia|Gaitech Int Ltd, Hong Kong, Peoples R China|Polytech Inst Porto, CISTER INESC TEG, ISEP, Porto, Portugal|Cooperat Networked Intelligent Syst COINS Res Grp, Riyadh, Saudi Arabia;

    Prince Sultan Univ, Robot & Internet Things Lab RIOTU, Riyadh, Saudi Arabia;

    Al Imam Mohammad Ibn Saud Islamic Univ, Riyadh, Saudi Arabia;

    Gaitech Int Ltd, Hong Kong, Peoples R China|Univ El Manar, Fac Math Phys & Nat Sci Tunis FST, LISI Lab, Tunis, Tunisia|Cooperat Networked Intelligent Syst COINS Res Grp, Riyadh, Saudi Arabia;

    Prince Sultan Univ, Robot & Internet Things Lab RIOTU, Riyadh, Saudi Arabia|Cooperat Networked Intelligent Syst COINS Res Grp, Riyadh, Saudi Arabia;

    Prince Sultan Univ, Robot & Internet Things Lab RIOTU, Riyadh, Saudi Arabia|King Saud Univ, Riyadh, Saudi Arabia|Polytech Inst Porto, CISTER INESC TEG, ISEP, Porto, Portugal;

    Taif Univ, At Taif, Saudi Arabia|Univ Sfax, Comp & Embedded Syst Lab, Sfax, Tunisia;

    Univ Carthage, Natl Inst Appl Sci & Technol INSAT, LISI Lab, Tunis 1080, Tunisia|Jinan Univ, Sch Elect & Informat Engn, Zhuhai Campus, Zhuhai 519070, Peoples R China;

    Polytech Inst Porto, CISTER INESC TEG, ISEP, Porto, Portugal;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Unmanned aerial vehicle; IoD; MAVLink; ROS; Cloud;

    机译:无人机;IoD;MAVLink;ROS;云;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号