Mission-based PTR triangle for multi-UAV systems flight planning

被引:0
作者
El-Basioni, Basma M. Mohammad [1 ]
El-Kader, Sherine M. Abd [1 ]
机构
[1] Elect Res Inst, Comp & Syst Dept, Cairo, Egypt
关键词
Path planning; Routing; Topology; Drone; UAV; FANET;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The Unmanned Aerial Vehicle (UAV) domain, especially the design of UAV cooperative systems, is one of the most important research and applied fields nowadays. The multi-UAV system design is a wealth of research points under the flight planning umbrella, including the design of communication protocols for the Flying Ad-hoc Network (FANET) connecting UAVs, and the inevitable flight design aspects which are the mission planning and path planning. With the fact that topology and routing are the communication design parts most affected by FANET's highly dynamic 3D movement, this paper introduces a design concept for multi-UAV system flight plan that has been named mission-based PTR triangle to indicate the importance of joint optimization of the three design pillars: Path planning, Topology control, and Routing strategy based on mission requirements. These aspects are very interconnected; they determine the UAV positions and relative placement and how the UAVs are connected; any of them can influence or be influenced by the other. They can be regarded as a single process and the trade-off between their parameters controls their influence. In addition, most of the flight planning opera-tions are confined to a PTR triangle its edges represent cross-layer or joint optimization associations, results in different optimization cases to support adaptive optimality suitable to the dynamic nature of FANET, design constraints, and variety in mission scenarios. To this end, this paper sheds light on and reviews the work done on each process and on the mission analysis, including classifications, approaches, and examples of separate and cross-layered optimization. The paper drew a roadmap for flight planning employing the mission-based PTR triangle design approach with a proof-of-concept to the PTR joint optimization ideas. The paper serves as an entry point to the interested researchers in the field of UAV systems design.
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页数:37
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共 158 条
  • [1] Path planning techniques for unmanned aerial vehicles: A review, solutions, and challenges
    Aggarwal, Shubhani
    Kumar, Neeraj
    [J]. COMPUTER COMMUNICATIONS, 2020, 149 : 270 - 299
  • [2] A novel path planning algorithm for mobile robot in dynamic environments using modified bat swarm optimization
    Ajeil, Fatin Hassan
    Ibraheem, Ibraheem Kasim
    Humaidi, Amjad J.
    Khan, Zeashan Hameed
    [J]. JOURNAL OF ENGINEERING-JOE, 2021, 2021 (01): : 37 - 48
  • [3] Topology control algorithms in multi-unmanned aerial vehicle networks: An extensive survey
    Alam, Muhammad Morshed
    Arafat, Muhammad Yeasir
    Moh, Sangman
    Shen, Jian
    [J]. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, 2022, 207
  • [4] Joint topology control and routing in a UAV swarm for crowd surveillance
    Alam, Muhammad Morshed
    Moh, Sangman
    [J]. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, 2022, 204
  • [5] Joint traffic-aware UAV placement and predictive routing for aerial networks
    Almeida, Eduardo Nuno
    Coelho, Andre
    Ruela, Jose
    Campos, Rui
    Ricardo, Manuel
    [J]. AD HOC NETWORKS, 2021, 118
  • [6] A survey on FANET routing from a cross-layer design perspective
    Amponis, Georgios
    Lagkas, Thomas
    Sarigiannidis, Panagiotis
    Vitsas, Vasileios
    Fouliras, Panagiotis
    Wan, Shaohua
    [J]. JOURNAL OF SYSTEMS ARCHITECTURE, 2021, 120
  • [7] [Anonymous], 2014, 2014 INT C HUM NAN I, DOI DOI 10.1109/HNICEM.2014.7016260
  • [8] Assistive Autonomous Ground Vehicles in Smart Grid
    Arutselvan, Kuralamudhan
    Vijayakumari, A.
    [J]. SMART GRID TECHNOLOGIES (ICSGT- 2015), 2015, 21 : 232 - 239
  • [9] An Overview of Nature-Inspired, Conventional, and Hybrid Methods of Autonomous Vehicle Path Planning
    Ayawli, Ben Beklisi Kwame
    Chellali, Ryad
    Appiah, Albert Yaw
    Kyeremeh, Frimpong
    [J]. JOURNAL OF ADVANCED TRANSPORTATION, 2018,
  • [10] UAV Formation Shape Control via Decentralized Markov Decision Processes
    Azam, Md Ali
    Mittelmann, Hans D.
    Ragi, Shankarachary
    [J]. ALGORITHMS, 2021, 14 (03)