Codeword-based Data Collection Protocol for Optical Unmanned Aerial Vehicle Networks

被引:0
|
作者
Ramdhan, Nihel [1 ]
Sliti, Maha [1 ]
Boudriga, Noureddine [1 ]
机构
[1] Univ Carthage, Commun Networks & Secur Res Lab, Tunis, Tunisia
关键词
Unmanned Aerial Vehicles; Free Space Optical links; Optical Code-Division Multiple-Access System; Optical codewords;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Unmanned Aerial Vehicles (UAV) are a possible future application for both civil and military use. The large amount of data generated by UAVs requires high data rate connectivity, which makes FSO communication very suitable. Thus, UAV in combination with Free Space Optics (FSO) is a new challenge and will be needed everywhere, where big amounts of data have to be delivered in real-time. In the frame of this work, we propose a data collection protocol for optical UAVs networks based on optical codewords. To this objective, we consider two trees: the first tree is an identification tree with hierarchical optical codewords allowing to globally identify nodes in the network, the second tree is the collection tree that is used to pick up data from drones and route the data to the root drone in order to be delivered to a collection node for processing and decision support.
引用
收藏
页码:35 / 39
页数:5
相关论文
共 50 条
  • [1] A tree-based data collection protocol for optical unmanned aerial vehicle networks
    Ramdhan, Nihel
    Sliti, Maha
    Boudriga, Noureddine
    [J]. COMPUTERS & ELECTRICAL ENGINEERING, 2018, 66 : 80 - 97
  • [2] A data collection system for environmental events based on unmanned aerial vehicle and wireless sensor networks
    Gao, Yiteng
    Chen, Xinghan
    Yuan, Jie
    Li, Yeqian
    Cao, Huiru
    [J]. PROCEEDINGS OF 2020 IEEE 4TH INFORMATION TECHNOLOGY, NETWORKING, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (ITNEC 2020), 2020, : 2175 - 2178
  • [3] Capacity of Unmanned Aerial Vehicle Assisted Data Collection in Wireless Sensor Networks
    Wei, Zhiqing
    Chen, Qian
    Liu, Shuhang
    Wu, Huici
    [J]. IEEE ACCESS, 2020, 8 : 162819 - 162829
  • [4] Minimizing data collection latency with unmanned aerial vehicle in wireless sensor networks
    Chuanwen Luo
    Yongcai Wang
    Yi Hong
    Wenping Chen
    Xingjian Ding
    Yuqing Zhu
    Deying Li
    [J]. Journal of Combinatorial Optimization, 2019, 38 : 1019 - 1042
  • [5] Minimizing data collection latency with unmanned aerial vehicle in wireless sensor networks
    Luo, Chuanwen
    Wang, Yongcai
    Hong, Yi
    Chen, Wenping
    Ding, Xingjian
    Zhu, Yuqing
    Li, Deying
    [J]. JOURNAL OF COMBINATORIAL OPTIMIZATION, 2019, 38 (04) : 1019 - 1042
  • [6] Trajectory influence on data collection in Wireless Sensor Networks using an Unmanned Aerial Vehicle
    Vladuta, Valentin-Alexandru
    Ghimes, Ana-Maria
    Grumazescu, Constantin
    Patriciu, Victor-Valeriu
    [J]. PROCEEDINGS OF THE 2018 10TH INTERNATIONAL CONFERENCE ON ELECTRONICS, COMPUTERS AND ARTIFICIAL INTELLIGENCE (ECAI), 2018,
  • [7] Trust based energy efficient data collection with unmanned aerial vehicle in edge network
    Jiang, Bo
    Huang, Guosheng
    Wang, Tian
    Gui, Jinsong
    Zhu, Xiaoyu
    [J]. TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES, 2022, 33 (06)
  • [8] Efficient unmanned aerial vehicle-based data collection for IoT smart farming
    Haider, Sami Ahmed
    Ahmad, Khwaja Mutahir
    Khan, Abdullah Aman
    [J]. INTERNET OF THINGS, 2024, 26
  • [9] Unmanned Aerial Vehicle Cooperative Data Dissemination Based on Graph Neural Networks
    Xing, Na
    Zhang, Ye
    Wang, Yuehai
    Zhou, Yang
    [J]. SENSORS, 2024, 24 (03)
  • [10] A consensus protocol for unmanned aerial vehicle networks in the presence of Byzantine faults
    Cheng, Chien-Fu
    Srivastava, Gautam
    Lin, Jerry Chun-Wei
    Lin, Ying-Chen
    [J]. COMPUTERS & ELECTRICAL ENGINEERING, 2022, 99