无人机辅助的物联网通信技术及其应用

doi:10.11959/j.issn.2096-3750.2019.00131

物联网学报 ›› 2019, Vol. 3 ›› Issue (4): 48-55.doi: 10.11959/j.issn.2096-3750.2019.00131

无人机辅助的物联网通信技术及其应用

刘亚林,戴弘宁,王曲北剑

澳门科技大学资讯科技学院，澳门 999078

修回日期:2019-11-16 出版日期:2019-12-30 发布日期:2020-02-05
作者简介:刘亚林（1996- ），女，四川达州人，澳门科技大学博士生，主要研究方向为无线能量传输技术在无人机通信或物联网中的应用|戴弘宁（1977- ），男，上海人，澳门科技大学副教授、博士生导师，主要研究方向为工业物联网、大数据分析、区块链、移动智能和大规模无线网络|王曲北剑（1993- ），男，宁夏石嘴山人，澳门科技大学博士生，主要研究方向为无人机辅助物联网的性能分析
基金资助:
澳门科学技术发展基金资助项目(0026/2018/A1)

Unmanned aerial vehicle enabled communication technologies and applications for Internet of things

Yalin LIU,Hongning DAI,Qubeijian WANG

Faculty of Information Technology,Macau University of Science and Technology,MacauSAR 999078,China

Revised:2019-11-16 Online:2019-12-30 Published:2020-02-05
Supported by:
Macao Science and Technology Development Fund(0026/2018/A1)

摘要/Abstract

摘要：

物联网旨在为“物”节点提供广覆盖和海量的连接服务，其收集的“物”数据可以为应用层的智能决策提供支持。然而，由于“物”的接入点以固定方式部署，物联网的网络拓扑结构缺乏灵活性，从而难以对移动性较高的“物”节点或者区域实现动态覆盖。此外，现有的物联网通信技术存在远程覆盖盲区，使得海量“物”节点无法在一些地理环境复杂的地方“联网”。而无人机具有高机动性、低成本和可灵活部署的特点，适合用来解决上述“物”节点接入问题。因此，研究了无人机辅助物联网的通信技术，帮助物联网扩展现有的网络覆盖范围，增强物联网拓扑结构的灵活性，并提供更加多样化的物联网服务。

关键词: 物联网, 无人机, 低功率广域网, 多无人机自组织网络, 无人机通信网络

Abstract:

The Internet of things (IoT) is designed to provide the wide coverage and the massive connectivity service for“things” node,and the collected “things” data can provide support for the intelligent decision-making at the application layer.However,due to the fixed deployment of the access point of the “things” node,the topology of the IoT network is not flexible,consequently making it difficult to dynamically cover the IoT node or regions with high mobility.In addition,the current IoT communication technology suffers from the remote blind area,which makes it impossible for a large number of “things” node to connect to establish the “network” in some geologically-complexed regions.UAV has high mobility,low cost and flexible deployment,which is suitable to solve the above issues.Studying the communication technology of UAV assisted IoT,help the IoT to extend the existing network coverage,enhance the flexibility of the IoT topology and provide more diverse IoT service.

Key words: Internet of things, unmanned aerial vehicle, low power wide area network, multi-UAV Ad Hoc network, UAV communication network

中图分类号:

TP393

刘亚林,戴弘宁,王曲北剑. 无人机辅助的物联网通信技术及其应用[J]. 物联网学报, 2019, 3(4): 48-55.

Yalin LIU,Hongning DAI,Qubeijian WANG. Unmanned aerial vehicle enabled communication technologies and applications for Internet of things[J]. Chinese Journal on Internet of Things, 2019, 3(4): 48-55.

图/表 10

图1

图2

图3

图4

图5

图6

图7

图8

图9

图10

参考文献 15

[1]	王晓闻 . 5G 无线移动通信技术下的物联网时代[J]. 通信电源技术, 2018,35(11): 189-190.
	WANG X W . The Internet of things age under 5G wireless mobile communication technology[J]. Telecommunication Power Technology, 2018,35(11): 189-190.
[2]	NASKAR S , BASU P , SEN A K . A literature review of the emerging field of IoT using RFID and its applications in supply chain management[M]. Pennsylvania: IGI GlobalPress, 2020.
[3]	MEKKI K , BAJIC E , CHAXEL F ,et al. Overview of cellular LPWAN technologies for IoT deployment:Sigfox,LoRaWAN,and NB-IoT[C]// 2018 IEEE International Conference on Pervasive Computing and Communications Workshops. IEEE, 2018: 197-202.
[4]	GUPTA L , JAIN R , VASZKUN G . Survey of important issues in UAV communication networks[J]. IEEE Communications Surveys ＆ Tutorials, 2016,18(2): 1123-1152.
[5]	赵婷婷 . 无人机地面站与航迹规划的研究[D]. 天津:天津大学, 2012.
	ZHAO T T . Research on the unmanned aerial vehicle (UAV) ground control system and path planning[D]. Tianjin:Tianjin University, 2012.
[6]	狄春雷 . 小型无人机飞行控制系统设计及其自适应方法研究[D]. 北京:北京理工大学, 2016.
	DI C L . Design of flight control system and research of adaptive control algorithm for small UAV[D]. Beijing:Beijing Institute of Technology, 2016.
[7]	贺子健, 艾元, 闫实 ,等. 无人机通信网络的容量与覆盖性能[J]. 电信科学, 2017,33(10): 65-70.
	HE Z J , AI Y , YAN S ,et al. Performance evaluation of capacity and coverage in UAV communication networks[J]. Telecommunications Science, 2017,33(10): 65-70.
[8]	刘鑫胜 . 无人机网络的性能分析与优化研究[D]. 北京:北京邮电大学, 2019.
	LIU X S . Research on performance analysis and optimization of UAV network[D]. Beijing:Beijing University of Posts and Telecommunications, 2019.
[9]	王巍, 赵继军, 彭力 ,等. 基于UAV的移动物联网远距离通信节能策略研究[J]. 电子学报, 2018,46(12): 2914-2922.
	WANG W , ZHAO J J , PENG L ,et al. Research on the energy saving strategy for long distance communication of mobile Internet of things based on UAVs[J]. Acta Electronica Sinica, 2018,46(12): 2914-2922.
[10]	宋庆恒, 郑福春 . 基于无人机的物联网无线通信的潜力与方法[J]. 物联网学报, 2019(1): 82-89.
	SONG Q H , ZHENG F C . Potential and methods of wireless communications for Internet of things based on UAV[J]. Chinese Journal on Internet of Things, 2019(1): 82-89.
[11]	赵亮, 胡张兵, 黄晶 ,等. 基于无人机的物联网监测系统[J]. 物联网技术, 2018,8(10): 12-14.
	ZHAO L , HU Z B , HUANG J ,et al. Monitoring system of Internet of things based on UAV[J]. Internet of Things Technologies, 2018,8(10): 12-14.
[12]	杨鼎成, 刘伟东, 肖霖 ,等. 基于无人机的区域环境监测物联网系统[J]. 现代电子技术, 2019,42(1): 19-23.
	YANG D C , LIU W D , XIAO L ,et al. UVA-based Internet of things system of regional environment monitoring[J]. Modern Electronics Technique, 2019,42(1): 19-23.
[13]	WANG Q , DAI H N , WANG H ,et al. UAV-enabled friendly jamming scheme to secure industrial Internet of things[J]. Journal of Communications and Networks, 2019,21(5): 481-490.
[14]	JOHANSEN T A , ZOLICH A , HANSEN T ,et al. Unmanned aerial vehicle as communication relay for autonomous underwater vehicle:field tests[C]// 2014 IEEE Globecom Workshops. IEEE, 2014.
[15]	LIU Y , DAI H N , PENG Y ,et al. Poster:UAV-enabled data acquisition scheme with directional wireless energy transfer[C]// Proceedings of the 2019 International Conference on Embedded Wireless Systems and Networks. Junction Publishing, 2019: 220-221.

无人机辅助的物联网通信技术及其应用

Unmanned aerial vehicle enabled communication technologies and applications for Internet of things

在线阅读

PDF下载

可视化

摘要/Abstract

引用本文

使用本文

图/表 10

参考文献 15

相关文章 15

Metrics

推荐阅读 0

[1]	吴靖, 李晟, 张景, 辛明, 陶若文, 周舟, 潘力佳, 施毅. 面向物联网的新型柔性传感器[J]. 物联网学报, 2023, 7(2): 1-14.
[2]	梁峻阁, 宋怡然, 孙杨帆, 计樱莹, 潘力佳, 施毅. 基于可穿戴与可植入技术的人体健康物联网研究进展[J]. 物联网学报, 2023, 7(2): 26-34.
[3]	耿光磊, 高博, 熊轲, 樊平毅, 陆杨, 王煜炜. 联邦学习赋能6G网络综述[J]. 物联网学报, 2023, 7(2): 50-66.
[4]	王志宏, 冷甦鹏, 熊凯. 面向无人机集群协同感知的多智能体资源分配策略[J]. 物联网学报, 2023, 7(1): 18-26.
[5]	卫浓钰, 江子龙, 陈芳炯. 基于位置信息和能量均衡的声电协同网络AODV[J]. 物联网学报, 2023, 7(1): 27-36.
[6]	申滨, 李银波, 梁枭伟. 基于增强加权质心定位的认知物联网用户频谱接入控制[J]. 物联网学报, 2023, 7(1): 93-108.
[7]	汪静, 何乐生, 李忠红, 李路迟, 杨航. 物联网轻量级认证加密算法ASCON的软硬件协同设计[J]. 物联网学报, 2022, 6(4): 139-148.
[8]	蒋伟进, 罗田甜, 杨莹, 李恩, 周文颖. 物联网环境下基于区块链技术的私有数据访问控制模型[J]. 物联网学报, 2022, 6(4): 169-182.
[9]	邢方圆, 贺诗波, 孙铭阳, 陈积明. 基于“云-管-边-端”物联网架构的碳排放监测[J]. 物联网学报, 2022, 6(4): 53-64.
[10]	张在琛, 尤肖虎, 党建, 吴亮, 朱秉诚, 陈绩, 汪磊. 无线光通信与物联网[J]. 物联网学报, 2022, 6(3): 1-13.
[11]	黄诺, 刘伟杰, 龚晨. 面向工业物联网的拍赫兹通信[J]. 物联网学报, 2022, 6(3): 37-46.
[12]	孙君, 赵尚维康. 工业物联网中基于Sarsa算法的节能计算卸载方案[J]. 物联网学报, 2022, 6(3): 82-90.
[13]	俞汉清, 林艳, 贾林琼, 李强, 张一晋. 面向多目标救援的通信受限无人机集群分布式策略[J]. 物联网学报, 2022, 6(3): 103-112.
[14]	李茜雯, 陈健锋, 崔苗, 张广驰. 可充电无人机辅助数据采集系统的飞行路线与通信调度优化[J]. 物联网学报, 2022, 6(3): 113-123.
[15]	刘杨, 李崔灿, 彭木根. 低功耗水下物联网：愿景与关键技术[J]. 物联网学报, 2022, 6(2): 1-9.