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Dispatching and management methods for communication of UAV swarm

Authors:

Yueke WangAuthors Info & Claims

HP3C: Proceedings of the 2nd International Conference on High Performance Compilation, Computing and Communications

Pages 61 - 67

https://doi.org/10.1145/3195612.3195622

Published: 15 March 2018 Publication History

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Abstract

Unmanned aerial vehicle (UAV) swarms will be the development trend of civil and military application. Effective and reliable communication is the requisite foundation of a UAV swarm architecture. In this paper, aiming at the design of a communication system of the UAV swarm, a multi-layer model of network communication and messages management is put forward. Then according to the model, a swarm communication framework is implemented on the ROS platform as a communication_node, in which scheduling algorithms and messages management schemes are applied. Finally, the results of experiments show that the communication_node meets the requirements of swarm communications with unstable bandwidth changes.

References

[1]

Taiyang Gu. 2017. Research on the development status of unmanned aerial vehicle cluster technology. Technical Report. Advanced equipment development research center. DOI=http://mp.weixin.qq.com/s/rnerl5CnF8uHKudVD5Rpug.

Google Scholar

[2]

Song Yiran, Shen Chao, and Li Dongbing. 2016. Research progress of distributed low cost unmanned aerial vehicle cluster in USA. Aerodynamic Missile Journal, (Aug. 2016), 17--22.

Google Scholar

[3]

Yu Pingping. 2005. Development of a car radio in a swarm communication system. Technical Report. Harbin Institute of Technology.

Google Scholar

[4]

Saleem, Y., Rehmani, M. H., Zeadally, S. 2015. Integration of Cognitive Radio Technology with unmanned aerial vehicles: Issue, opportunities, and future research challenges. Journal of Network & Computer Applications. (Apr. 2015), 15--31

Digital Library

Google Scholar

[5]

Zhou, Y., Li, J., and Lamont, L. 2012. A Markov-Based Packet Dropout Model for UAV Wireless Communications. Journal of Communications. (July. 2012), 369--370.

Crossref

Google Scholar

[6]

HenkelD, Brown T X. 2008. On Controlled Node Mobility in Delay-Tolerant Networks of Unmanned Aerial Vehicles. University of Colorado at Boulder.

Google Scholar

[7]

Teacy, WT. L., Nie, J., and Mcclean, S. 2009. Collaborative Sensing by Unmanned Aerial Vehicles. International Workshop on Agent Technology for Sensor Networks. (Mar. 2009), 187--193.

Google Scholar

[8]

Huang Huayuan. 2015. A UAV-based multi-machine data link technology. Telecommunications Technology. (Aug. 2015), 879--884.

Google Scholar

[9]

Jawhar, I., Mohamed, N., and Al-Jaroodi, J. 2017. Communication and Networking of UAV-Based Systems: Classification and Associated Architectures. Journal of Network & Computer Applications. (Aug. 2017), 84--85.

Crossref

Google Scholar

[10]

Enrique Fernandez, Luis Sanchez Crespo, Anil Mahtani, Aaron Martinez. 2015. Learning ROS for Robotics Programming, 2nd ed. Packt Publishing Ltd: Birmingham, UK, 2015; pp.33--40.

Digital Library

Google Scholar

[11]

Hou Yanshun, Sun Jiaqi, and Wang Xiaobo. 2014. A Distributed Time-synchronization Scheme for UAVs' Networking with Ad Hoc Techniques. Journal of Telemetry, Tracking and Command. (Mar. 2014), 31--36.

Google Scholar

[12]

Qu Yaohong, Liang Feng, and Chen Lisha. 2010. Research on Information Synchronization of Distributed Multi-UAVs Coordinated Control. Fire Control & Command Control. (Nov. 2010), 65--68.

Google Scholar

[13]

Yan Ting-Ting, Yan Jin-Yao, and Zhang Bo. 2017. Effects of Packet Size on the Performance of TCP Streaming in Small Buffer States. Journal of Communication University of China Science and Technology of Natural Sciences. (Feb. 2017): 28

Google Scholar

Cited By

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Kharchenko VGrekhov AKondratiuk V(2024)Studying data loss, nonlinearity, and modulation effects in drone swarm channels with artificial intelligenceTelecommunication Systems10.1007/s11235-024-01210-w87:3(743-758)Online publication date: 22-Aug-2024
https://doi.org/10.1007/s11235-024-01210-w
Niyitunga E(2023)Armed drones and international humanitarian lawDigital Policy Studies10.36615/dps.v1i2.22781:2(18-39)Online publication date: 16-Jan-2023
https://doi.org/10.36615/dps.v1i2.2278
Asaamoning GMendes PRosário DCerqueira E(2021)Drone Swarms as Networked Control Systems by Integration of Networking and ComputingSensors10.3390/s2108264221:8(2642)Online publication date: 9-Apr-2021
https://doi.org/10.3390/s21082642
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Index Terms

Dispatching and management methods for communication of UAV swarm
1. Software and its engineering
  1. Software organization and properties
    1. Software system structures
      1. Software architectures
        Layered systems

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Published In

HP3C: Proceedings of the 2nd International Conference on High Performance Compilation, Computing and Communications

March 2018

123 pages

ISBN:9781450363372

DOI:10.1145/3195612

Conference Chair:
Steven Guan
Xi'an Jiaotong-Liverpool University, China

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 15 March 2018

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HP3C 2018: 2018 2nd International Conference on High Performance Compilation, Computing and Communications

March 15 - 17, 2018

Hong Kong, Hong Kong

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Kharchenko VGrekhov AKondratiuk V(2024)Studying data loss, nonlinearity, and modulation effects in drone swarm channels with artificial intelligenceTelecommunication Systems10.1007/s11235-024-01210-w87:3(743-758)Online publication date: 22-Aug-2024
https://doi.org/10.1007/s11235-024-01210-w
Niyitunga E(2023)Armed drones and international humanitarian lawDigital Policy Studies10.36615/dps.v1i2.22781:2(18-39)Online publication date: 16-Jan-2023
https://doi.org/10.36615/dps.v1i2.2278
Asaamoning GMendes PRosário DCerqueira E(2021)Drone Swarms as Networked Control Systems by Integration of Networking and ComputingSensors10.3390/s2108264221:8(2642)Online publication date: 9-Apr-2021
https://doi.org/10.3390/s21082642
Mongay Batalla JMavromoustakis CMastorakis GMarkakis EPallis EWichary TKrawiec PLekston P(2021)On Analyzing Routing Selection for Aerial Autonomous Vehicles Connected to Mobile NetworkSensors10.3390/s2102039921:2(399)Online publication date: 8-Jan-2021
https://doi.org/10.3390/s21020399
Chen XTang JLao S(2020)Review of Unmanned Aerial Vehicle Swarm Communication Architectures and Routing ProtocolsApplied Sciences10.3390/app1010366110:10(3661)Online publication date: 25-May-2020
https://doi.org/10.3390/app10103661

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Optimising pheromone communication in a UAV swarm

Improving Pheromone Communication for UAV Swarm Mobility Management

Evaluation of a Weather Plugin in Gazebo: A Case-Study of a Wind Influence on PX4-Based UAV Performance

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