Optimizing UAV-assisted IoT sensor networks: A multi-objective approach to data collection and routing
Unmanned Aerial Vehicles (UAVs) are powerful tools for data gathering in IoT sensor networks, enhancing efficiency in challenging environments. This research proposes an optimized UAV deployment and data routing approach, addressing energy use, coverage, and communication delays. The study guarantees comprehensive coverage and effective data management by employing sophisticated optimisation methodologies. The solution achieves significant energy savings, reduced latency, and improved performance, offering a robust framework for large-scale IoT applications like agriculture, disaster response, and environmental monitoring.
Authors
- Huda Saleh Abbas (ORCID: https://orcid.org/0000-0001-6034-0929)
- Rosilah Hassan (ORCID: https://orcid.org/0000-0003-1348-5804)
- Jamel Baili (ORCID: https://orcid.org/0000-0001-5564-6114)
- Mohammad Kamrul Hasan (ORCID: https://orcid.org/0000-0001-5511-0205)
- Deepak Gupta (ORCID: https://orcid.org/0000-0002-4091-2552)
- Muhammad Attique Khan (ORCID: https://orcid.org/0000-0001-5723-3858)
- Yasir I. Mohammed
Institutions
- Prince Mohammad bin Fahd University (SA)
- Taibah University (SA)
- Maharaja Engineering College (IN)
- Korea University (JP)
- Chitkara University (IN)
- King Khalid University (SA)
- National University of Malaysia (MY)
Publication Details
- Journal
- Alexandria Engineering Journal
- Published
- 2024-12-10
- DOI
- https://doi.org/10.1016/j.aej.2024.12.018
- Citations
- 8
- Primary Topic
- UAV Applications and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 10.39