Cited by 107UAV Applications and OptimizationDistributed Control Multi-Agent SystemsRobotic Path Planning Algorithms

Networked Unmanned Aerial Vehicles for Surveillance and Monitoring: A Survey

Open access
Li, Xiaohui, Savkin, Andrey V.·2021·Future Internet

Abstract

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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  • Leveraging algorithms like Firefly algorithm can aid in rapidly estimating flood levels and spread rates.

    “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]

    Section 2.2 describes a sliding-mode control algorithm for UAVs tracking the fastest-spreading part of a moving disaster area's frontier. Searches for the Firefly algorithm and flood-level or spread-rate estimation found no passage addressing the attributed claim. (LLM, conf=0.75)

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Research works printed but not linked: 1

  1. Erica Cirino. Drones Help Find Massive Penguin Colonies Hiding in Plain Sight. Available online: https://deeply. thenewhumanitarian.org/oceans/articles/2018/03/05/drones-help-find-massive-penguin-colonies-hiding-in-plain-sight (accessed on 3 May 2021).

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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
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 › Computer Science › Computer Networks and Communications › Distributed Control Multi-Agent Systems
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › 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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