写作系列之: UAV领域概述的参考文献集合

[1] M. Erdelj, E. Natalizio, K. R. Chowdhury, and I. F. Akyildiz, “Help from the sky: Leveraging UAVs for disaster management,” IEEE Pervasive Comput., vol. 16, no. 1, pp. 24–32, Jan./Mar. 2017.
[2] J. Wang et al., “Taking drones to the next level: Cooperative distributed unmanned-aerial-vehicular networks for small and mini drones,” IEEE Veh. Technol. Mag., vol. 12, no. 3, pp. 73–82, Sep. 2017.
[3] N. H. Motlagh, T. Taleb, and O. Arouk, “Low-altitude unmanned aerial vehicles-based Internet of Things services: Comprehensive survey and future perspectives,” IEEE Internet Things J., vol. 3, no. 6, pp. 899–922, Dec. 2016.
[2] L. Gupta, R. Jain, and G. Vaszkun, “Survey of important issues in UAV communication networks,” IEEE Commun. Surveys Tuts., vol. 18, no. 2, pp. 1123–1152, 2nd Quart., 2015.
[3] D. Joshi, Commercial Unmanned Aerial Vehicle (UAV) Market Analysis-Industry Trends, Companies and What You Should Know. Accessed: Aug. 2017. [Online]. Available: http://www.businessinsider.com/commercial-uav-market-analysis 2017-8
[4] J.-J. Wang, C.-X. Jiang, Z. Han, Y. Ren, R. G. Maunder, and L. Hanzo,“Taking drones to the next level: Cooperative distributed unmanned-aerial-vehicular networks for small and mini drones,” IEEE Veh. Technol.Mag., vol. 12, no. 3, pp. 73–82, Sep. 2017.
[5] N. H. Motlagh, T. Taleb, and O. Arouk, “Low-altitude unmanned aerial vehicles-based Internet of Things services: Comprehensive survey and future perspectives,” IEEE Internet Things J., vol. 3, no. 6, pp. 899–922,Dec. 2016.
[6] Y. Yang, Z. Zheng, K. Bian, L. Song, and Z. Han, “Real-time proﬁling of ﬁne-grained air quality index distribution using UAV sensing,” IEEE Internet Things J., vol. 5, no. 1, pp. 186–198, Feb. 2018.
[7] T. Kersnovski, F. Gonzalez, and K. Morton, “A UAV system for autonomous target detection and gas sensing,” in Proc. IEEE Aerosp. Conf., Mar. 2017, pp. 1–12.
[8] B. H. Y. Alsalam, K. Morton, D. Campbell, and F. Gonzalez, “Autonomous UAV with vision based on-board decision making for remote sensing and precision agriculture,” in Proc. IEEE Aerosp. Conf., Mar. 2017, pp. 1–12.
[9] T. Zhao, D. Doll, D. Wang, and Y. Chen, “A new framework for UAV- based remote sensing data processing and its application in almond water stress quantiﬁcation,” in Proc. IEEE ICUAS, Jun. 2017, pp. 1794–1799.
[10] A. Kumbhar, F. Koohifar, I. Guvenç, and B. Mueller, “A survey on legacy and emerging technologies for public safety communications,” IEEE Commun. Surveys Tuts., vol. 19, no. 1, pp. 97–124, Sep. 2016.

[2] A. F. B. Hanscom and M. A. Bedford, “Unmanned aircraft system (UAS) service demand 2015–2035, literature review and projections of future usage,” Res. Innov. Technol. Administ., U.S. Dept. Transp., Washington, DC, USA, Tech. Rep. DOT-VNTSC-DoD-13-01, 2013.
[3] M. Alzenad, M. Z. Shakir, H. Yanikomeroglu, and M.-S. Alouini,
“FSO-based vertical backhaul/fronthaul framework for 5G+ wireless
networks,” IEEE Commun. Mag., vol. 56, no. 1, pp. 218–224, Jan. 2018.
[4] N. H. Motlagh, T. Taleb, and O. Arouk, “Low-altitude unmanned aerial vehicles-based Internet of Things services: Comprehensive survey and future perspectives,” IEEE Internet Things J., vol. 3, no. 6, pp. 899–922, Dec. 2016.

[5] R. Lee, J. Manner, J. Kim, B. Hurley, P. Amodio, and K. Anderson, “Role of deployable aerial communications architecture in emergency communications and recommended next steps,” Federal Commun. Commission, 2011, pp. 2015–2035.
[6] S. Hayat, E. Yanmaz, and R. Muzaffar, “Survey on unmanned aer- ial vehicle networks for civil applications: A communications view- point,” IEEE Commun. Surveys Tuts., vol. 18, no. 4, pp. 2624–2661, 4th Quart., 2016.
[7] C. D. Gavrilovich, “Mobile communication system with moving base station,” U.S. Patent 572 982 6A, Mar. 17, 1998.
[8] Y. Zeng, R. Zhang, and T. J. Lim, “Wireless communications with unmanned aerial vehicles: Opportunities and challenges,” IEEE Com-
mun. Mag., vol. 54, no. 5, pp. 36–42, May 2016.
[9] M. Zuckerburg. (2016). The Technology Behind Aquila. [Online].
Available: https://www.facebook.com/notes/markzuckerberg/the- technologybehind-aquila/10153916136506634/
[10] (2015). Project Loon. [Online]. Available: https://www.google.com/
loonGoogle
[11] M. Gharibi, R. Boutaba, and S. L. Waslander, “Internet of drones,” IEEE Access, vol. 4, pp. 1148–1162, 2016.
[12] M. Mozaffari, W. Saad, M. Bennis, Y.-H. Nam, and M. Debbah, “A tutorial on UAVs for wireless networks: Applications, challenges, and open problems,” IEEE Commun. Surveys Tuts., vol. 21, no. 3, pp. 2334–2360, 3rd Quart., 2019.
[13] A. Fotouhi et al., “Survey on UAV cellular communications: Practical aspects, standardization advancements, regulation, and security challenges,” IEEE Commun. Surveys Tuts., to be published.

写作系列之: UAV领域概述的参考文献集合相关推荐

攻克论文写作系列之5：你论文的“贡献”是什么？
来源|刀熊说说文|刀熊想象这样一个场景.你被邀请去一个学校给同学们分享你的研究,可能是大学也可能是高中.你有半个小时时间,学生们对你的研究题目很感兴趣,非常期待你的演讲.在这半个小时里,你打算给大 ...
LVGL系列（四）概述之位置、尺寸和布局
"本文大部分内容来自LVGL官方文档,手翻版,如有错误欢迎指正." 系列文章目录一.LVGL系列(一) 一文了解LVGL的学习路线轻松了解LVGL的全部二.LVGL系列(二) ...
CSS入门系列（一）概述和html结合的方式
CSS入门系列(一)概述&和html结合的方式自己在关注招聘信息的时候经常发现很多公司都要求要有前端的基础,不一定搞前端,但是前端的基础是要有的.所以,我就学习了一下前端的技术. 本文系列是 ...
storm显微镜成像原理_生命科学与医学领域概述：知微见著-超高分辨率显微镜STORM...
原标题:生命科学与医学领域概述:知微见著-超高分辨率显微镜STORM 超高分辨率显微镜STORM 正文前言: 我们知道,在生命科学领域中最常用的光学显微镜,是用可见光来观察生物样品.而光是一种横波 ...
EWSTM8系列教程04_菜单概述（一）
IAR最新全套教程: 1.EWSTM8系列教程01_IAR介绍.下载.安装和注册 2.EWSTM8系列教程02_新建基础软件工程 3.EWSTM8系列教程03_主窗口.工具栏的概述 4.EWSTM8系 ...
AI：大模型领域最新算法SOTA总结、人工智能领域AI工具产品集合分门别类(文本类、图片类、编程类、办公类、视频类、音频类、多模态类)的简介、使用方法(持续更新)之详细攻略
AI:大模型领域最新算法SOTA总结.人工智能领域AI工具产品集合分门别类(文本类.图片类.编程类.办公类.视频类.音频类.多模态类)的简介.使用方法(持续更新)之详细攻略导读:由于ChatGPT. ...
Paper：机器学习、深度学习常用的国内/国外引用(References)论文参考文献集合(建议收藏，持续更新)
Paper:机器学习.深度学习常用的国内/国外引用(References)论文参考文献集合(建议收藏,持续更新) References 1.国外格式 [1] D. E. Rumelhart, G. E ...
Java基础（18）集合概述、Collection集合、List集合
1.集合 1. 集合的引入需求:我有3个学生,请把这个3个学生的信息存储到数组中,并遍历数组,获取得到每一个学生信息. public class TestDemo01 {public static ...
SCI论文写作训练营笔记汇总01_概述+文献检索与管理
1 概述 1.1 适用人群 ①初涉科研, 目前或将来有英文科技论文发表需求的科研工作者 ②正在撰写或准备撰写英文科技论文的科研工作者 1.2 科技论文的基本结构 1.3 科技论文组成部分的写作方法 1 ...

写作系列之: UAV领域概述的参考文献集合

写作系列之: UAV领域概述的参考文献集合相关推荐

最新文章

热门文章