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A Comprehensive Survey on UAV-based Data Gathering Techniques in Wireless Sensor Networks
Review Article  ·  Published: 16 January 2025
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ICCK Transactions on Intelligent Systematics
Volume 2, Issue 1, 2025: 66-75
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A Comprehensive Survey on UAV-based Data Gathering Techniques in Wireless Sensor Networks

by
Muhammad Aamir Khan Muhammad Aamir Khan 1 *
Fahad Farooq Fahad Farooq 1 ORCID
1 Department of Electronic Engineering, Sir Syed University of Engineering and Technology, Karachi, Pakistan
* Corresponding Author: Muhammad Aamir Khan, [email protected]
Volume 2, Issue 1
Volume 2, Issue 1 2025
Received: 16 October 2024 Accepted: 15 December 2024 Published: 16 January 2025 CrossMark
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DOI: 10.62762/TIS.2025.790920
ARK: ark:/57805/tis.2025.790920

Article Information

Published in ICCK Transactions on Intelligent Systematics
Volume/Issue Volume 2, Issue 1, 2025
Pages 66-75
Cited by 7 (Crossref) 10 (Scopus)

Abstract

In the recent era of communication, wireless sensor networks (WSNs) emerged as a demanding area of study due to their communication capacity especially in the application of Internet of things (IoT). As the scale and coverage of networks expand quickly, it becomes necessary to sense, transmit, and interpret the massive amount of data in IoT devices. WSN becomes even more beneficial and popular among the researchers when it integrates with unmanned aerial vehicles (UAVs) to increase the life span and establish a reliable communication between itself and Network Control Centre in an efficient way. Memory problems and network data transmission processing times are also addressed by this integration technique. In this paper, a large scale of data gathering techniques between WSN and UAV- controlled devices are addressed which will favor the research community to further enhance various design and many functional parameters like security, resource management, positioning and different processing techniques.

Graphical Abstract

A Comprehensive Survey on UAV-based Data Gathering Techniques in Wireless Sensor Networks

Keywords

wireless sensor network internet of things communication channel unmanned aerial vehicle network control centre data gathering

Data Availability Statement

Not applicable.

Funding

This work was supported without any funding.

Conflicts of Interest

The authors declare no conflicts of interest.

Ethical Approval and Consent to Participate

Not applicable.

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    [CrossRef]
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    [CrossRef]
* Citation data provided by Crossref Cited-by.

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APA Style
Khan, M. A., & Farooq, F. (2025). A Comprehensive Survey on UAV-based Data Gathering Techniques in Wireless Sensor Networks. ICCK Transactions on Intelligent Systematics, 2(1), 66-75. https://doi.org/10.62762/TIS.2025.790920
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TY  - JOUR
AU  - Khan, Muhammad Aamir
AU  - Farooq, Fahad
PY  - 2025
DA  - 2025/01/16
TI  - A Comprehensive Survey on UAV-based Data Gathering Techniques in Wireless Sensor Networks
JO  - ICCK Transactions on Intelligent Systematics
T2  - ICCK Transactions on Intelligent Systematics
JF  - ICCK Transactions on Intelligent Systematics
VL  - 2
IS  - 1
SP  - 66
EP  - 75
DO  - 10.62762/TIS.2025.790920
UR  - https://www.icck.org/article/abs/TIS.2025.790920
KW  - wireless sensor network
KW  - internet of things
KW  - communication channel
KW  - unmanned aerial vehicle
KW  - network control centre
KW  - data gathering
AB  - In the recent era of communication, wireless sensor networks (WSNs) emerged as a demanding area of study due to their communication capacity especially in the application of Internet of things (IoT). As the scale and coverage of networks expand quickly, it becomes necessary to sense, transmit, and interpret the massive amount of data in IoT devices. WSN becomes even more beneficial and popular among the researchers when it integrates with unmanned aerial vehicles (UAVs) to increase the life span and establish a reliable communication between itself and Network Control Centre in an efficient way. Memory problems and network data transmission processing times are also addressed by this integration technique. In this paper, a large scale of data gathering techniques between WSN and UAV- controlled devices are addressed which will favor the research community to further enhance various design and many functional parameters like security, resource management, positioning and different processing techniques.
SN  - 3068-5079
PB  - Institute of Central Computation and Knowledge
LA  - English
ER  -
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Compatible with LaTeX, BibTeX, and other reference managers
@article{Khan2025A,
  author = {Muhammad Aamir Khan and Fahad Farooq},
  title = {A Comprehensive Survey on UAV-based Data Gathering Techniques in Wireless Sensor Networks},
  journal = {ICCK Transactions on Intelligent Systematics},
  year = {2025},
  volume = {2},
  number = {1},
  pages = {66-75},
  doi = {10.62762/TIS.2025.790920},
  url = {https://www.icck.org/article/abs/TIS.2025.790920},
  abstract = {In the recent era of communication, wireless sensor networks (WSNs) emerged as a demanding area of study due to their communication capacity especially in the application of Internet of things (IoT). As the scale and coverage of networks expand quickly, it becomes necessary to sense, transmit, and interpret the massive amount of data in IoT devices. WSN becomes even more beneficial and popular among the researchers when it integrates with unmanned aerial vehicles (UAVs) to increase the life span and establish a reliable communication between itself and Network Control Centre in an efficient way. Memory problems and network data transmission processing times are also addressed by this integration technique. In this paper, a large scale of data gathering techniques between WSN and UAV- controlled devices are addressed which will favor the research community to further enhance various design and many functional parameters like security, resource management, positioning and different processing techniques.},
  keywords = {wireless sensor network, internet of things, communication channel, unmanned aerial vehicle, network control centre, data gathering},
  issn = {3068-5079},
  publisher = {Institute of Central Computation and Knowledge}
}

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