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Towards the Unmanned Aerial Vehicles (UAVs): A Comprehensive Review
Open accessAbstract
Recently, unmanned aerial vehicles (UAVs), also known as drones, have come in a great diversity of several applications such as military, construction, image and video mapping, medical, search and rescue, parcel delivery, hidden area exploration, oil rigs and power line monitoring, precision farming, wireless communication and aerial surveillance. The drone industry has been getting significant attention as a model of manufacturing, service and delivery convergence, introducing synergy with the coexistence of different emerging domains. UAVs offer implicit peculiarities such as increased airborne time and payload capabilities, swift mobility, and access to remote and disaster areas. Despite these potential features, including extensive variety of usage, high maneuverability, and cost-efficiency, drones are still limited in terms of battery endurance, flight autonomy and constrained flight time to perform persistent missions. Other critical concerns are battery endurance and the weight of drones, which must be kept low. Intuitively it is not suggested to load them with heavy batteries. This study highlights the importance of drones, goals and functionality problems. In this review, a comprehensive study on UAVs, swarms, types, classification, charging, and standardization is presented. In particular, UAV applications, challenges, and security issues are explored in the light of recent research studies and development. Finally, this review identifies the research gap and presents future research directions regarding UAVs.
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Unmanned Aerial Vehicles (UAVs): A Survey on Civil Applications and Key Research Challenges
Shakhatreh, H., Sawalmeh, A. H., Al-Fuqaha, A., Dou, Z., Almaita, E., Khalil, I., Othman, N. S., Khreishah, A., & Guizani, M. (2019) · IEEE Access · doi:10.1109/access.2019.2909530 · Cited by 2,529
Survey on Unmanned Aerial Vehicle Networks for Civil Applications: A Communications Viewpoint
Hayat, S., Yanmaz, E., & Muzaffar, R. (2016) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2016.2560343 · Cited by 1,386
UAV Communications for 5G and Beyond: Recent Advances and Future Trends
Li, B., Fei, Z., & Zhang, Y. (2019) · IEEE Internet of Things Journal · doi:10.1109/jiot.2018.2887086 · Cited by 1,377
Fotouhi, A., Qiang, H., Ding, M., Hassan, M., Giordano, L. G., Garcia-Rodriguez, A., & Yuan, J. (2019) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2019.2906228 · Cited by 1,115
Perspectives for Remote Sensing with Unmanned Aerial Vehicles in Precision Agriculture
Maes, W. H., & Steppe, K. (2019) · Trends in Plant Science · doi:10.1016/j.tplants.2018.11.007 · Cited by 970
Hossein Motlagh, N., Taleb, T., & Arouk, O. (2016) · IEEE Internet of Things Journal · doi:10.1109/jiot.2016.2612119 · Cited by 944
UAV-Enabled Intelligent Transportation Systems for the Smart City: Applications and Challenges
Menouar, H., Guvenc, I., Akkaya, K., Uluagac, A. S., Kadri, A., & Tuncer, A. (2017) · IEEE Communications Magazine · doi:10.1109/mcom.2017.1600238cm · Cited by 944
UAV-Enabled Wireless Power Transfer: Trajectory Design and Energy Optimization
Xu, J., Zeng, Y., & Zhang, R. (2018) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2018.2838134 · Cited by 600
Drone-aided routing: A literature review
Macrina, G., Di Puglia Pugliese, L., Guerriero, F., & Laporte, G. (2020) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2020.102762 · Cited by 522
Cellular UAV-to-X Communications: Design and Optimization for Multi-UAV Networks
Zhang, S., Zhang, H., Di, B., & Song, L. (2019) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2019.2892131 · Cited by 415
Research works printed but not linked: 40
- Kim, 2018, CBDN: Cloud-Based Drone Navigation for Efficient Battery Charging in Drone Networks, IEEE Trans. Intell. Transp. Syst., 20, 4174, 10.1109/TITS.2018.2883058 · doi:10.1109/tits.2018.2883058
- Khan, M.A., Alvi, B.A., Safi, A., and Khan, I.U. (2018, January 28–29). Drones for Good in Smart Cities: A Review. Proceedings of the International Conference on Electrical, Electronics, Computers, Communication, Mechanical and Computing (EECCMC), Tamil Nadu, India.
- Zhang, 2016, Optimizing Itinerary Selection and Charging Association for Mobile Chargers, IEEE Trans. Mob. Comput., 16, 2833, 10.1109/TMC.2016.2641446 · doi:10.1109/tmc.2016.2641446
- Raciti, A., Rizzo, S.A., and Susinni, G. (2018, January 7–10). Drone charging stations over the buildings based on a wireless power transfer system. Proceedings of the 2018 IEEE/IAS 54th Industrial and Commercial Power Systems Technical Conference (I & CPS), Niagara Falls, ON, Canada. · doi:10.1109/icps.2018.8369967
- Rohan, A., Rabah, M., Talha, M., and Kim, S.-H. (2018). Development of Intelligent Drone Battery Charging System Based on Wireless Power Transmission Using Hill Climbing Algorithm. Appl. Syst. Innov., 1. · doi:10.3390/asi1040044
- Pham, H., Smolka, S.A., Stoller, S.D., Phan, D., and Yang, J. (2015). A survey on unmanned aerial vehicle collision avoidance systems. arXiv.
- Ebeid, E., Skriver, M., and Jin, J. (September, January 30). A survey on open-source flight control platforms of unmanned aerial vehicle. Proceedings of the 2017 Euromicro Conference on Digital System Design (DSD), Vienna, Austria. · doi:10.1109/dsd.2017.30
- Mozaffari, M., Saad, W., Bennis, M., Nam, Y.-H., and Debbah, M. (2018). A tutorial on UAVs for wireless networks: Applications, challenges, and open problems. arXiv. · DOI · Paper page
- Ucgun, 2021, A review on applications of rotary-wing unmanned aerial vehicle charging stations, Int. J. Adv. Robot. Syst., 18, 17298814211015863, 10.1177/17298814211015863 · doi:10.1177/17298814211015863
- Zhao, X., Zhou, Z., and Zhu, X. (2018, January 5–8). Design of a lift-propulsion VTOL UAV system. Proceedings of the 2018 IEEE International Conference on Mechatronics and Automation (ICMA), Changchun, China. · doi:10.1109/icma.2018.8484448
- Zhang, Q., and Liu, H.H. (2019). Robust cooperative formation control of fixed-wing unmanned aerial vehicles. arXiv.
- Cai, G., Lum, K.-Y., Chen, B.M., and Lee, T.H. (2010, January 9–11). A brief overview on miniature fixed-wing unmanned aerial vehicles. Proceedings of the IEEE ICCA 2010, Xiamen, China. · doi:10.1109/icca.2010.5524453
- Dong, F., Li, L., Lu, Z., Pan, Q., and Zheng, W. (2019, January 20–24). Energy-efficiency for fixed-wing UAV-enabled data collection and forwarding. Proceedings of the 2019 IEEE International Conference on Communications Workshops (ICC Workshops), Shanghai, China. · doi:10.1109/iccw.2019.8757098
- Gunarathna, J.K., and Munasinghe, R. (June, January 30). Development of a quad-rotor fixed-wing hybrid unmanned aerial vehicle. Proceedings of the 2018 Moratuwa Engineering Research Conference (MERCon), Moratuwa, Sri Lanka. · doi:10.1109/mercon.2018.8421941
- Wen, 2018, Influence of wing tip vortex on drift of single rotor plant protection unmanned aerial vehicle, Nongye Jixie Xuebao/Trans. Chin. Soc. Agric. Mach., 49, 127
- De Souza BJ, O., and Endler, M. (2015, January 23–27). Coordinating movement within swarms of UAVs through mobile networks. Proceedings of the 2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops), St. Louis, MO, USA.
- Pestana, J., Sanchez-Lopez, J.L., de la Puente, P., Carrio, A., and Campoy, P. (2014, January 27–30). A Vision-based Quadrotor Swarm for the participation in the 2013 International Micro Air Vehicle Competition. Proceedings of the 2014 International Conference on Unmanned Aircraft Systems (ICUAS), Orlando, FL, USA. · doi:10.1109/icuas.2014.6842305
- Fotouhi, A., Ding, M., and Hassan, M. (2017, January 12–15). Understanding autonomous drone maneuverability for Internet of Things applications. Proceedings of the 2017 IEEE 18th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM), Macau, China. · doi:10.1109/wowmom.2017.7974336
- Hempe, D. (2006, January 6–8). Unmanned aircraft systems in the United States. Proceedings of the US/Europe International Safety Conference, Washington, DC, USA.
- (2022, April 05). EASA UAS Workshop. Available online: https://www.easa.europa.eu/sites/default/files/dfu/ws_prod-g-doc-Events-2008-February-1-Overview-of-the-UAV-Industry-(UVS).pdf.
- Yinka-Banjo, C., and Ajayi, O. (2020). Sky-Farmers: Applications of unmanned aerial vehicles (UAV) in agriculture. Auton. Veh., 107–128. · doi:10.5772/intechopen.89488
- Decker, 2022, Economic policy choices and trade-offs for Unmanned aircraft systems Traffic Management (UTM): Insights from Europe and the United States, Transp. Res. Part A Policy Pract., 157, 40, 10.1016/j.tra.2022.01.006 · doi:10.1016/j.tra.2022.01.006
- Jawad, 2019, Wireless power transfer with magnetic resonator coupling and sleep/active strategy for a drone charging station in smart agriculture, IEEE Access, 7, 139839, 10.1109/ACCESS.2019.2943120 · doi:10.1109/access.2019.2943120
- Valente, 2011, An air-ground wireless sensor network for crop monitoring, Sensors, 11, 6088, 10.3390/s110606088 · doi:10.3390/s110606088
- Campi, T., Cruciani, S., and Feliziani, M. (2018). Wireless Power Transfer Technology Applied to an Autonomous Electric UAV with a Small Secondary Coil. Energies, 11. · doi:10.3390/en11020352
- Campi, T., Dionisi, F., Cruciani, S., De Santis, V., Feliziani, M., and Maradei, F. (2016, January 18–21). Magnetic field levels in drones equipped with wireless power transfer technology. Proceedings of the 2016 Asia-Pacific International Symposium on Electromagnetic Com-patibility (APEMC), Shenzhen, China. · doi:10.1109/apemc.2016.7522793
- Song, 2018, EMI reduction methods in wireless power transfer system for drone electrical charger using tightly coupled three-phase resonant magnetic field, IEEE Trans. Ind. Electron., 65, 6839, 10.1109/TIE.2018.2793275 · doi:10.1109/tie.2018.2793275
- Qin, 2021, Blockchain-enabled charging scheduling for unmanned vehicles in smart cities, J. Internet Technol., 22, 327
- Fazelpour, 2013, Considerable parameters of using PV cells for so-lar-powered aircrafts, Renew. Sustain. Energy Rev., 22, 81, 10.1016/j.rser.2013.01.016 · doi:10.1016/j.rser.2013.01.016
- Thipyopas, C., Sripawadkul, V., and Warin, N. (2019, January 3–6). Design and development of a small solar-powered UAV for environmental monitoring application. Proceedings of the 2019 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE), Yunlin, Taiwan. · doi:10.1109/ecice47484.2019.8942777
- Wu, 2018, Energy management strategy for solar-powered UAV long-endurance target tracking, IEEE Trans. Aerosp. Electron. Syst., 55, 1878, 10.1109/TAES.2018.2876738 · doi:10.1109/taes.2018.2876738
- Achtelik, M.C., Stumpf, J., Gurdan, D., and Doth, K.-M. (2011, January 25–30). Design of a flexible high performance quadcopter platform breaking the MAV endurance record with laser power beaming. Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, San Francisco, CA, USA. · doi:10.1109/iros.2011.6048336
- Chen, 2015, Design and experiment for realization of laser wireless power transmission for small unmanned aerial vehicles, Int. Soc. Opt. Photonics, 9671, 96710N
- Lee, S., Lim, N., Choi, W., Lee, Y., Baek, J., and Park, J. (2020). Study on battery charging converter for MPPT control of laser wireless power transmission system. Electronics, 9. · doi:10.3390/electronics9101745
- Che, 2020, UAV-aided information and energy transmissions for cognitive and sustainable 5G networks, IEEE Trans. Wirel. Commun., 20, 1668, 10.1109/TWC.2020.3035425 · doi:10.1109/twc.2020.3035425
- Tiansawat, P., and Elliott, S. (2022, May 01). Unmanned Aerial Vehicles for Automated Forest Restoration. Available online: https://www.researchgate.net/profile/Stephen-Elliott-2/publication/350688583_Unmanned_Aerial_Vehicles_for_Automated_Forest_Restoration/links/614b3f56a3df59440ba46d20/Unmanned-Aerial-Vehicles-for-Automated-Forest-Restoration.pdf.
- Moura, M., de Oliveira, L., Sanquetta, C., Bastos, A., Mohan, M., and Corte, A. (2021). Towards amazon forest restoration: Automatic detection of species from UAV imagery. Remote Sens., 13. · doi:10.3390/rs13132627
- Jiang, B., Yang, J., and Song, H. (2020, January 6–9). Protecting Privacy from Aerial photography: State of the Art, Opportunities, and Challenges. Proceedings of the IEEE INFOCOM 2020—IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), Toronto, ON, Canada. · doi:10.1109/infocomwkshps50562.2020.9162649
- Sands, T. (2021). Virtual Sensoring of motion using pontryagin’s treatment of hamiltonian systems. Sensors, 21. · doi:10.3390/s21134603
- Khan, M.A., Qureshi, I.M., Khan, I.U., Nasim, M.A., Javed, U., and Khan, M.W. (2018, January 25–27). On the performance of flying ad-hoc Network (FANET) with directional antennas. Proceedings of the 2018 5th International Multi-Topic ICT Conference (IMTIC), Jamshoro, Pakistan. · doi:10.1109/imtic.2018.8467274
Cited by
A Review of Modeling and Control Techniques for Unmanned Aerial Vehicles
Gedefaw, E. A., Abera, N. B., & Abdissa, C. M. (2025) · Engineering Reports · doi:10.1002/eng2.70215 · Cited by 54
Metadata
- Authors
- Mohsan, S. A. H., Khan, M. A., Noor, F., Ullah, I., & Alsharif, M. H.
- Venue
- Drones
- Publisher
- MDPI AG
- Published
- 2022-06-15
- Volume
- 6
- Issue
- 6
- Pages
- 147
- ISSN
- 2504-446X (ISSN-L)
- OpenAlex
- W4282970004
- Cited by
- 916
- References
- 70
- FWCI
- 80.95
- Type
- journal article
- Language
- en
- Open access
- gold
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