UAV-Assisted Intelligent Vehicular Networks
This Reprint presents a comprehensive collection of research papers focused on advanced communication technologies and optimization techniques for unmanned aerial vehicle (UAV)-assisted systems and Internet of Things (IoT) applications. The Reprint covers a broad spectrum of topics, including intell...
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| 格式: | Online |
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| 語言: | 英语 |
| 出版: |
MDPI - Multidisciplinary Digital Publishing Institute
2025
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| 主題: | |
| 在線閱讀: | ONIX_20250812T110751_9783725835836_83 |
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| _version_ | 1869517350853672960 |
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| collection | Directory of Open Access Books |
| description | This Reprint presents a comprehensive collection of research papers focused on advanced communication technologies and optimization techniques for unmanned aerial vehicle (UAV)-assisted systems and Internet of Things (IoT) applications. The Reprint covers a broad spectrum of topics, including intelligent resource allocation, secure transmission protocols, trajectory planning, and the use of deep learning in UAV networks. Noteworthy contributions include novel algorithms for relay selection in ultra-dense MEC networks, a multi-subsampling self-attention network for UAV-to-ground automatic modulation recognition, and optimized strategies for covert communication in UAV-assisted uplink systems. Additionally, this Special Issue delves into critical aspects such as physical-layer security, cooperative caching strategies, spectrum sensing, and the integration of edge computing with blockchain for secure V2X communications. The collected works provide valuable insights into emerging technologies, addressing the challenges of resource management, security, and efficiency in next-generation UAV and IoT networks. This Reprint serves as a valuable resource for both researchers and practitioners in these fields. |
| format | Online |
| id | doab-20.500.12854ir-165327 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1653272025-08-12T09:21:26Z UAV-Assisted Intelligent Vehicular Networks Wang, Dawei Zhang, Ruonan unmanned aerial vehicles (UAVs) vehicular networks resource allocation thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology This Reprint presents a comprehensive collection of research papers focused on advanced communication technologies and optimization techniques for unmanned aerial vehicle (UAV)-assisted systems and Internet of Things (IoT) applications. The Reprint covers a broad spectrum of topics, including intelligent resource allocation, secure transmission protocols, trajectory planning, and the use of deep learning in UAV networks. Noteworthy contributions include novel algorithms for relay selection in ultra-dense MEC networks, a multi-subsampling self-attention network for UAV-to-ground automatic modulation recognition, and optimized strategies for covert communication in UAV-assisted uplink systems. Additionally, this Special Issue delves into critical aspects such as physical-layer security, cooperative caching strategies, spectrum sensing, and the integration of edge computing with blockchain for secure V2X communications. The collected works provide valuable insights into emerging technologies, addressing the challenges of resource management, security, and efficiency in next-generation UAV and IoT networks. This Reprint serves as a valuable resource for both researchers and practitioners in these fields. 2025-08-12T09:21:24Z 2025-08-12T09:21:24Z 2025 book ONIX_20250812T110751_9783725835836_83 9783725835836 9783725835843 https://directory.doabooks.org/handle/20.500.12854/165327 eng image/jpeg Attribution 4.0 International https://mdpi.com/books https://mdpi.com/books/pdfview/book/10719 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-3584-3 10.3390/books978-3-7258-3584-3 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725835836 9783725835843 218 open access |
| spellingShingle | unmanned aerial vehicles (UAVs) vehicular networks resource allocation thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology UAV-Assisted Intelligent Vehicular Networks |
| title | UAV-Assisted Intelligent Vehicular Networks |
| title_full | UAV-Assisted Intelligent Vehicular Networks |
| title_fullStr | UAV-Assisted Intelligent Vehicular Networks |
| title_full_unstemmed | UAV-Assisted Intelligent Vehicular Networks |
| title_short | UAV-Assisted Intelligent Vehicular Networks |
| title_sort | uav assisted intelligent vehicular networks |
| topic | unmanned aerial vehicles (UAVs) vehicular networks resource allocation thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| topic_facet | unmanned aerial vehicles (UAVs) vehicular networks resource allocation thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| url | ONIX_20250812T110751_9783725835836_83 |