首页> 外文会议>IEEE International Conference on Communications >Online-relaying-based image communication in unmanned aerial vehicle networks
【24h】

Online-relaying-based image communication in unmanned aerial vehicle networks

机译:无人机网络中基于在线中继的图像通信

获取原文

摘要

The use of small and miniature unmanned aerial vehicles (UAVs) for remote sensing and surveillance applications has become increasingly popular in the last two decades. The intermittent connectivity in a sparse UAV network makes it challenging to efficiently gather sensed image data. This paper investigates the communication of sensed images from a set of mobile survey UAVs to a static base station through the assistance of a relay UAV. Given the planned routes of survey UAVs, a set of relay waypoints are found for the relay UAV to meet the survey UAVs and receive the sensed images. An Online Message Relaying technique (OMR) is proposed to schedule the relay UAV to collect images. Without any global collaboration between the relay UAV and the survey UAVs, OMR utilizes a markov decision process (MDP) that determines the best schedules for the relay UAV such that the image acquisition rate could be maximized. Evaluation results show that the proposed relaying technique outperforms traditional relaying techniques, such as the traveling salesman problem (TSP) and the random walk, in terms of end-to-end delay and frame delivery ratio.
机译:在过去的二十年中,将小型和微型无人机(UAV)用于遥感和监视应用已变得越来越流行。稀疏UAV网络中的间歇性连接使得有效收集感测到的图像数据具有挑战性。本文研究了通过中继无人飞行器的协助,从一组移动测量无人飞行器到静态基站的感知图像通信。给定勘测无人机的计划路线,可以找到一组中继航路点,以供中继无人机满足勘测无人机并接收感测到的图像。提出了一种在线消息中继技术(OMR)来调度中继无人机以收集图像。在中继无人机和调查无人机之间没有任何全球协作的情况下,OMR利用马尔可夫决策过程(MDP)来确定中继无人机的最佳调度,从而可以最大程度地提高图像采集率。评估结果表明,所提出的中继技术在端到端延迟和帧传输率方面优于传统的中继技术,例如旅行商问题(TSP)和随机游走。

著录项

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