Optimizing UAV-assisted IoT sensor networks: A multi-objective approach to data collection and routing

被引:0
|
作者
Mohammed, Yasir I. [1 ]
Hassan, Rosilah [1 ]
Hasan, Mohammad Kamrul [1 ]
Abbas, Huda Saleh [2 ]
Khan, Muhammad Attique [3 ,6 ]
Baili, Jamel [4 ]
Gupta, Deepak [5 ,7 ]
机构
[1] Center for Cyber Security, Faculty of information Science and Technology, Universiti Kebangsaan Malaysia (UKM), Bangi,43600, Malaysia
[2] Department of Computer Science, College of Computer Science and Engineering, Taibah University, Saudi Arabia
[3] Department of Computer Science and Engineering, College of Informatics, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul,02841, Korea, Republic of
[4] Department of Computer Engineering, College of Computer Science, King Khalid University, Abha,61413, Saudi Arabia
[5] Maharaja Agrasen Institute of Technology, Delhi, India
[6] Department of AI, College of Computer Engineering and Science, Prince Mohammad Bin Fahd University, Saudi Arabia
[7] Centre for Research Impact & Outcome, Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India
关键词
D O I
10.1016/j.aej.2024.12.018
中图分类号
V27 [各类型航空器];
学科分类号
082503 ;
摘要
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. © 2024 The Authors
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收藏
页码:47 / 56
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