Computing Challenges of UAV Networks: A Comprehensive Survey
Source abstract
Abstract
Devices and networks constantly upgrade, leading to rapid technological evolution. Three-dimensional (3D) point cloud transmission plays a crucial role in aerial computing terminology, facilitating information exchange. Vario... | Find, read and cite all the research you need on Tech Science Press
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: UAV Applications and Optimization · Distributed Control Multi-Agent Systems · IoT and Edge/Fog Computing
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (94)
Show source-provided references
1. Survey on deep learning-based point cloud compression10.3389/frsip.2022.846972 ↗
2. A tutorial on UAVs for wireless networks: Applications, challenges, and open problems10.1109/COMST.2019.2902862 ↗
3. A QoS-Aware 3D point cloud streaming from real space for interaction in metaverse
4. What will the future of UAV cellular communications be? A flight from 5G to 6G10.1109/COMST.2022.3171135 ↗
5. Mobility management UAV-based grouping routing protocol in flying ad hoc networks for biomedical applications10.1002/dac.5362 ↗
6. Mission-based PTR triangle for multi-UAV systems flight planning
7. A framework and analysis for cooperative search using UAV swarms
8. Cellular UAV-to-UAV communications
9. Position unmanned aerial vehicles in the mobile ad hoc network10.1007/s10846-013-9939-y ↗
10. Flying ad-hoc networks (FANETs): A survey10.1016/j.adhoc.2012.12.004 ↗
11. Routing protocols for unmanned aerial vehicle-aided vehicular ad hoc networks: A survey10.1109/ACCESS.2020.2989790 ↗
12. 6G-edge support of Internet of Autonomous Vehicles: A survey
13. Internet of autonomous vehicles communication infrastructure: A short review10.29354/diag/168310 ↗
14. Veerasamy · Modelling and Simulation of Fast-Moving Ad-Hoc Networks (FANETs and VANETs) · 2023 · 124
15. A hardware/software architecture for uav payload and mission control
16. Perumal · Modelling and Simulation of Fast-Moving Ad-Hoc Networks (FANETs and VANETs) · 2023 · 13
17. Classification of objective control functions of fanet communication nodes
18. Computing in the sky: A survey on intelligent ubiquitous computing for UAV-assisted 6G networks and Industry 4.0/510.3390/drones6070177 ↗
19. Green UAV communications for 6G: A survey10.1016/j.cja.2021.04.025 ↗
20. The commercial global drone market
21. Traffic management and resource allocation for UAV-based parcel delivery in low-altitude urban space10.1016/j.trc.2022.103808 ↗
22. Suspicious activity detection and tracking through unmanned aerial vehicle using deep learning techniques10.30534/ijatcse/2020/51932020 ↗
23. A marker-based image processing method for detecting available parking slots from UAVs
24. A UAV-based traffic monitoring system for smart cities
25. Crop monitoring using unmanned aerial vehicles: A review
26. Seeking in ride-on-demand service: A reinforcement learning model with dynamic price prediction10.1109/JIOT.2024.3407119 ↗
27. Traffic flow prediction based on spatiotemporal potential energy fields10.1109/TKDE.2022.3221183 ↗
28. BorderSense: Border patrol through advanced wireless sensor networks10.1016/j.adhoc.2010.09.008 ↗
29. Bushnaq · Micro and Nano Technologies, Nanotechnology-Based Smart Remote Sensing Networks for Disaster Prevention · 2022 · 159
30. UAVs for volcano monitoring: A new approach applied on an active lava flow on Mt. Etna (Italy), during the 27 February–02 March 2017 eruption10.1016/j.jvolgeores.2018.12.001 ↗
31. The use of unmanned aerial vehicles in flood hazard assessment10.1111/jfr3.12622 ↗
32. Construction of 3D models of buildings damaged by earthquakes using UAV aerial images
33. Networked unmanned aerial vehicles for surveillance and monitoring: A survey10.3390/fi13070174 ↗
34. UAV relay network to support WSN connectivity
35. Overview and current status of remote sensing applications based on unmanned aerial vehicles (UAVs)10.14358/PERS.81.4.281 ↗
36. A review of QoE research progress in metaverse10.1016/j.displa.2023.102389 ↗
37. Smart IoT control-based nature inspired energy efficient routing protocol for flying ad hoc network (FANET)10.1109/ACCESS.2020.2981531 ↗
38. J. Xin, W. Xu, B. Cao, T. Wang, and S. Zhang, “A deep-learning-based MAC for integrating channel access, rate adaptation and channel switch,” 2024, arXiv:2406.02291.10.1016/j.dcan.2024.10.010 ↗
39. Reliability of data transmission of UAVs
40. An overview, survey, and challenges in UAVs communication network
41. UAV communication networks issues: A review10.1007/s11831-020-09418-0 ↗
42. A secure communication protocol for unmanned aerial vehicles
43. Fahlstrom · Introduction to UAV Systems · 2022
44. A survey on the convergence of edge computing and AI for UAVs: Opportunities and challenges10.1109/JIOT.2022.3176400 ↗
45. Energy-efficient and secure communication toward UAV networks10.1109/JIOT.2021.3118079 ↗
46. Machine learning-aided operations and communications of unmanned aerial vehicles: A contemporary survey10.1109/COMST.2023.3312221 ↗
47. Image processing for drones detection
48. Deep learning-based object detection in low-altitude UAV datasets: A survey10.1016/j.imavis.2020.104046 ↗
49. UAV-assisted connectivity enhancement algorithms for multiple isolated sensor networks in agricultural Internet of Things10.1016/j.comnet.2022.108854 ↗
50. UAV-Enabled IoT Networks: Architecture, opportunities, and challenges10.1007/978-3-030-51473-0_14 ↗
51. Drone networking in the 6G era: A technology overview10.1109/MCOMSTD.0001.2100016 ↗
52. Drone security: Issues and challenges
53. Advancing UAV security with artificial intelligence: A comprehensive survey of techniques and future directions10.1016/j.iot.2024.101281 ↗
54. Geofencing requirements for onboard safe operation monitoring10.1007/s13272-020-00451-0 ↗
55. Survey of security protocols and vulnerabilities in unmanned aerial vehicles10.1109/ACCESS.2021.3066778 ↗
56. Anti-jamming communications in UAV swarms: A reinforcement learning approach10.1109/ACCESS.2019.2958328 ↗
57. Laso · OCEANS 2019-Marseille · 2019 · 1
58. Real-time surveillance using deep learning10.1155/2021/6184756 ↗
59. GPS Spoofing attacks in FANETs: A systematic literature review10.1109/ACCESS.2023.3281731 ↗
60. UAVs: Regulations and law enforcement10.1080/01431161.2017.1302115 ↗
61. PARTH: A two-stage lightweight mutual authentication protocol for UAV surveillance networks10.1016/j.comcom.2020.05.025 ↗
62. T. T. Khoei, E. Ghribi, P. Ranganathan, and N. Kaabouch, “A performance comparison of encryption/decryption algorithms for UAV swarm communications,” 2021. doi: 10.13140/RG.2.2.17379.48160.
63. A survey of UAV-based data collection: Challenges, solutions and future perspectives10.1016/j.jnca.2023.103670 ↗
64. UAVs for humanitarian missions: Autonomy and reliability
65. Drone security module for UAV data encryption
66. Integrated inertial-LiDAR-based map matching localization for varying environments10.1109/TIV.2023.3298892 ↗
67. ARMS-EGR—Adaptive ranking and mobile sink-enabled energy-efficient geographic routing protocol in flying ad hoc networks10.1002/dac.5405 ↗
68. Q-learning-based routing inspired by adaptive flocking control for collaborative unmanned aerial vehicle swarms
69. UBER: UAV-based energy-efficient reconfigurable routing scheme for smart wireless livestock sensor network10.3390/s22166158 ↗
70. Energy efficient transmission design for noma backscatter-aided uav networks with imperfect cSI10.3390/drones6080190 ↗
71. Multi-objective message routing in electric and flying vehicles using a genetics algorithm10.3390/s23031100 ↗
72. UAV computing-assisted search and rescue mission framework for disaster and harsh environment mitigation10.3390/drones6070154 ↗
73. Enhancement of physical layer security in flying ad-hoc networks by intelligent reflecting metasurfaces
74. Intelligent hello dissemination model for FANET routing protocols10.1109/ACCESS.2022.3170066 ↗
75. UAV-spray application in vineyards: Flight modes and spray system adjustment effects on canopy deposit, coverage, and off-target losses10.1016/j.scitotenv.2022.157292 ↗
76. A novel routing protocol for reducing packet delay with multi-beam antennas
77. Resource allocation and 3D trajectory design for power-efficient IRS-assisted UAV-NOMA communications10.1109/TWC.2022.3183300 ↗
78. A multi-UAVs’ provider model for the provision of 5g service chains: A game theoretic approach
79. Comparison of multi-class and fusion of multiple single-class SegNet model for mapping karst wetland vegetation using UAV images10.1038/s41598-022-17620-2 ↗
80. OPBRP-obstacle prediction based routing protocol in VANETs
81. Urban tree classification based on object-oriented approach and random forest algorithm using unmanned aerial vehicle (UAV) multispectral imagery
82. Co-DLSA: Cooperative delay and link stability aware with relay strategy routing protocol for flying ad-hoc network
83. DLSA: Delay and link stability aware routing protocol for flying ad-hoc networks (FANETs)10.1007/s11277-021-08839-9 ↗
84. Object detection from UAV thermal infrared images and videos using YOLO models
85. An intelligent cluster-based routing scheme in 5G flying ad hoc networks
86. Krishnan · Modelling and Simulation of Fast-Moving Ad-Hoc Networks (FANETs and VANETs) · 2023 · 74
87. LoCaL: Link-optimized cone-assisted location routing in flying ad hoc networks10.1002/dac.5375 ↗
88. An energy-aware routing method using firefly algorithm for flying ad hoc networks10.1038/s41598-023-27567-7 ↗
89. Network consensus analysis and optimization of distributed fanets based on multi-agent consensus theory10.1186/s13638-023-02241-8 ↗
90. YOLOv5-Tassel: Detecting tassels in RGB UAV imagery with improved YOLOv5 based on transfer learning10.1109/JSTARS.2022.3206399 ↗
91. Secure transmission for multi-UAV-assisted mobile edge computing based on reinforcement learning10.1109/TNSE.2022.3185130 ↗
92. Intelligent reflecting surfaces assisted UAV communications for massive networks: Current trends, challenges, and research directions10.3390/s22145278 ↗
93. A comprehensive review of micro UAV charging techniques10.3390/mi13060977 ↗
94. Individual tree segmentation and tree species classification in subtropical broadleaf forests using UAV-based LiDAR, hyperspectral, and ultrahigh-resolution RGB data10.1016/j.rse.2022.113143 ↗