The DOI matches its Crossref record; 116 of the 116 references it cites were found in a registry or an index.
Networked Unmanned Aerial Vehicles for Surveillance and Monitoring: A Survey
Open accessAbstract
As a typical cyber-physical system, networked unmanned aerial vehicles (UAVs) have received much attention in recent years. Emerging communication technologies and high-performance control methods enable networked UAVs to operate as aerial sensor networks to collect more complete and consistent information with significantly improved mobility and flexibility than traditional sensing platforms. One of the main applications of networked UAVs is surveillance and monitoring, which constitute essential components of a well-functioning public safety system and many industrial applications. Although the existing literature on surveillance and monitoring UAVs is extensive, a comprehensive survey on this topic is lacking. This article classifies publications on networked UAVs for surveillance and monitoring using the targets of interest and analyzes several typical problems on this topic, including the control, navigation, and deployment optimization of UAVs. The related research gaps and future directions are also presented.
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“For instance, leveraging algorithms like the Firefly algorithm can aid in rapidly estimating flood levels and spread rates [148].”
From A Survey of Video Surveillance Systems in Smart City (2023) · cites this paper as [148]
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Cites
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
Placement Optimization of UAV-Mounted Mobile Base Stations
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Cited by
Sorted by citations
Items 101–107 of 107
Multimodal Attribute-Integrated Person Re-Identification in UAV Surveillance Systems
Parattanawong, K., Erjongmanee, S., Suwanagood, E., & Klampol, C. (2025) · International Computer Science and Engineering Conference · doi:10.1109/icsec67360.2025.11298037
Improving Reliability and Latency in FANETs Using Machine Learning
Mendoza-N´u˜Nez, P. J., Cárdenas, L. L., & León, J. P. A. (2025) · IEEE Ecuador Technical Chapters Meeting (ETCM) · doi:10.1109/etcm67548.2025.11304389
Autonomous Drone Patrol and Surveillance System using Computer Vision
Tony Alosius, S., Kavin Velavan, G., K, S. I., Manikandan, S., Surrenther, I., & K, S. I. (2025) · BENTHAM SCIENCE PUBLISHERS eBooks · doi:10.2174/9798898812133125040012
Dixit, K. K. (2026) · International Conference on Power Electronics & IoT Applications in Renewable Energy and its Control (PARC) · doi:10.1109/parc68365.2026.11453700
Distributed Event-Triggered Control for UAV Formation Tracking with Collision and Obstacle Avoidance
Zhang, W., & Xu, X. (2026) · International Journal of Crowd Science · doi:10.26599/ijcs.2026.9100002
Aziz, B. A., Rushdi, M. A., Yoshida, S., Dief, T. N., Shaban, I. A., & Kamra, M. M. (2026) · Applied Sciences · doi:10.3390/app16178774 · Cited by 1
Bioinspired strategy for coordinating multiple unmanned aerial vehicles for surveillance tasks
Satake, S., Nakahata, G. H. D. S., & Calvo, R. (2026) · IEEE Congress on Evolutionary Computation (CEC) · doi:10.1109/cec69861.2026.11727259
Metadata
- Authors
- Li, X., & Savkin, A. V.
- Affiliations
- UNSW Sydney (AU)
- Corresponding author
- Savkin, Andrey V.
- Venue
- Future Internet
- Publisher
- MDPI AG
- Published
- 2021-07-02
- Volume
- 13
- Issue
- 7
- Pages
- 174
- ISSN
- 1999-5903 (ISSN-L)
- OpenAlex
- W3174708786
- Cited by
- 107
- References
- 116
- Citations by year
- 2026: 8 · 2025: 23 · 2024: 30 · 2023: 16 · 2022: 22 · 2021: 8
- FWCI
- 9.79
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Future Internet (publishedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Australian Research Council (NULL)
- Australian Government (AUSMURIB000001)
- ONR MURI (N00014-19-1-2571)
- Topics
- Physical Sciences › Engineering › Aerospace Engineering › UAV Applications and Optimization
- Physical Sciences › Engineering › Control and Systems Engineering › Distributed Control Multi-Agent Systems
- Physical Sciences › Engineering › Control and Systems Engineering › Robotic Path Planning Algorithms
- Keywords
- UAV surveillance, UAV monitoring, cyber-physical systems, UAV control, UAV navigation, UAV deployment optimization, public safety
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