Exploring UAV Networking From the Terrain Information Completeness Perspective: A Tutorial
Terrain information is a crucial factor affecting the performance of unmanned aerial vehicle (UAV) networks. As a tutorial, this article provides a unique perspective on the completeness of terrain information, summarizing and enhancing the research on terrain-based UAV deployment. In the presence o...
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Format: | Article |
Language: | English |
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IEEE
2024-01-01
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Series: | IEEE Open Journal of Vehicular Technology |
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Online Access: | https://ieeexplore.ieee.org/document/10494362/ |
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author | Zhengying Lou Ruibo Wang Baha Eddine Youcef Belmekki Mustafa A. Kishk Mohamed-Slim Alouini |
author_facet | Zhengying Lou Ruibo Wang Baha Eddine Youcef Belmekki Mustafa A. Kishk Mohamed-Slim Alouini |
author_sort | Zhengying Lou |
collection | DOAJ |
description | Terrain information is a crucial factor affecting the performance of unmanned aerial vehicle (UAV) networks. As a tutorial, this article provides a unique perspective on the completeness of terrain information, summarizing and enhancing the research on terrain-based UAV deployment. In the presence of complete terrain information, two highly discussed topics are UAV-aided map construction and dynamic trajectory design based on maps. We propose a case study illustrating the mutually reinforcing relationship between them. When terrain information is incomplete, and only terrain-related feature parameters are available, we discuss how existing models map terrain features to blockage probabilities. By introducing the application of this model with stochastic geometry, a case study is proposed to analyze the accuracy of the model. When no terrain information is available, UAVs gather terrain information during the real-time networking process and determine the next position by collected information. This real-time search method is currently limited to relay communication. In the case study, we extend it to a multi-user scenario and summarize three trade-offs of the method. Finally, we conduct a qualitative analysis to assess the impact of three factors that have been overlooked in terrain-based UAV deployment. |
format | Article |
id | doaj-art-fd97a3fea6ee4f0a8839ccbbbc2f524f |
institution | Kabale University |
issn | 2644-1330 |
language | English |
publishDate | 2024-01-01 |
publisher | IEEE |
record_format | Article |
series | IEEE Open Journal of Vehicular Technology |
spelling | doaj-art-fd97a3fea6ee4f0a8839ccbbbc2f524f2025-01-30T00:04:27ZengIEEEIEEE Open Journal of Vehicular Technology2644-13302024-01-01562063110.1109/OJVT.2024.338606410494362Exploring UAV Networking From the Terrain Information Completeness Perspective: A TutorialZhengying Lou0https://orcid.org/0000-0002-2072-4116Ruibo Wang1https://orcid.org/0000-0002-6967-6135Baha Eddine Youcef Belmekki2https://orcid.org/0000-0002-7634-4032Mustafa A. Kishk3https://orcid.org/0000-0001-7518-2783Mohamed-Slim Alouini4https://orcid.org/0000-0003-4827-1793Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi ArabiaComputer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi ArabiaComputer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi ArabiaDepartment of Electronic Engineering, Maynooth University, Maynooth, IrelandComputer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi ArabiaTerrain information is a crucial factor affecting the performance of unmanned aerial vehicle (UAV) networks. As a tutorial, this article provides a unique perspective on the completeness of terrain information, summarizing and enhancing the research on terrain-based UAV deployment. In the presence of complete terrain information, two highly discussed topics are UAV-aided map construction and dynamic trajectory design based on maps. We propose a case study illustrating the mutually reinforcing relationship between them. When terrain information is incomplete, and only terrain-related feature parameters are available, we discuss how existing models map terrain features to blockage probabilities. By introducing the application of this model with stochastic geometry, a case study is proposed to analyze the accuracy of the model. When no terrain information is available, UAVs gather terrain information during the real-time networking process and determine the next position by collected information. This real-time search method is currently limited to relay communication. In the case study, we extend it to a multi-user scenario and summarize three trade-offs of the method. Finally, we conduct a qualitative analysis to assess the impact of three factors that have been overlooked in terrain-based UAV deployment.https://ieeexplore.ieee.org/document/10494362/UAV deploymentterrain informationblockage verificationnetwork performance |
spellingShingle | Zhengying Lou Ruibo Wang Baha Eddine Youcef Belmekki Mustafa A. Kishk Mohamed-Slim Alouini Exploring UAV Networking From the Terrain Information Completeness Perspective: A Tutorial IEEE Open Journal of Vehicular Technology UAV deployment terrain information blockage verification network performance |
title | Exploring UAV Networking From the Terrain Information Completeness Perspective: A Tutorial |
title_full | Exploring UAV Networking From the Terrain Information Completeness Perspective: A Tutorial |
title_fullStr | Exploring UAV Networking From the Terrain Information Completeness Perspective: A Tutorial |
title_full_unstemmed | Exploring UAV Networking From the Terrain Information Completeness Perspective: A Tutorial |
title_short | Exploring UAV Networking From the Terrain Information Completeness Perspective: A Tutorial |
title_sort | exploring uav networking from the terrain information completeness perspective a tutorial |
topic | UAV deployment terrain information blockage verification network performance |
url | https://ieeexplore.ieee.org/document/10494362/ |
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