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Machine Learning for NTN-Assisted IoT:A Bibliometric-Assisted Survey of Optimization across Trajectory,Resource,Energy,and Security Aspects
Oluwatosin Ahmed Amodu Zurina Mohd Hanapi Chedia Jarray Huda Althumali Faten A.Saif Raja Azlina Raja Mahmood Mohammed Sani Adam Nor Fadzilah Abdullah
Computer Modeling in Engineering & Sciences2026,Vol.147Issue(5):P.168-235,68.
Computer Modeling in Engineering & Sciences2026,Vol.147Issue(5):P.168-235,68.DOI:10.32604/cmes.2026.077054
Machine Learning for NTN-Assisted IoT:A Bibliometric-Assisted Survey of Optimization across Trajectory,Resource,Energy,and Security Aspects
摘要
关键词
Machine learning/deep learning/reinforcement learning/deep reinforcement learning/satellites/unmanned aerial vehicles/drones/altitude platforms/Internet of Things/wireless sensor networks分类
信息技术与安全科学引用本文复制引用
Oluwatosin Ahmed Amodu,Zurina Mohd Hanapi,Chedia Jarray,Huda Althumali,Faten A.Saif,Raja Azlina Raja Mahmood,Mohammed Sani Adam,Nor Fadzilah Abdullah..Machine Learning for NTN-Assisted IoT:A Bibliometric-Assisted Survey of Optimization across Trajectory,Resource,Energy,and Security Aspects[J].Computer Modeling in Engineering & Sciences,2026,147(5):P.168-235,68.基金项目
Oluwatosin Ahmed Amodu and Zurina Mohd Hanapi acknowledge the support of the Ministry of Higher Education Malaysia through the Fundamental Research Grant Scheme under Grant FRGS/1/2023/ICT11/UPM/02/2/5540649. ()