دورية أكاديمية
5G-enabled UAVs for energy-efficient opportunistic networking
العنوان: | 5G-enabled UAVs for energy-efficient opportunistic networking |
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المؤلفون: | Nameer Hashim Qasim, Aqeel Mahmood Jawad |
المصدر: | Heliyon, Vol 10, Iss 12, Pp e32660- (2024) |
بيانات النشر: | Elsevier, 2024. |
سنة النشر: | 2024 |
المجموعة: | LCC:Science (General) LCC:Social sciences (General) |
مصطلحات موضوعية: | 5G networks, Unmanned aerial vehicles (UAVs), Opportunistic networking, Command and control software, Edge computing, Environmental monitoring, Science (General), Q1-390, Social sciences (General), H1-99 |
الوصف: | The article explores the potential of 5G-enabled Unmanned Aerial Vehicles (UAVs) in establishing opportunistic networks to improve network resource management, reduce energy use, and boost operational efficiency. The proposed framework utilizes 5G-enabled drones and edge command and control software to provide energy-efficient network topologies. As a result, UAVs operate edge computing for efficient data collecting and processing. This invention enhances network performance using modern Artificial Intelligence (AI) algorithms to improve UAV networking capabilities while conserving energy.An empirical investigation shows a significant improvement in network performance measures when using 5G technology compared to older 2.4 GHz systems. The communication failure rate decreased by 50 %, from 12 % to 6 %. The round-trip time was lowered by 58.3 %, from 120 Ms to 50 Ms. The payload efficiency improved by 13.3 %, dropping from 15 % to 13 %. The data transmission rate increased significantly from 1 Gbps to 5 Gbps, representing a 400 % boost. The numerical findings highlight the significant impact that 5G technology may have on UAV operations.Testing on a 5G-enabled UAV confirms the effectiveness of our technique in several domains, including precision agriculture, disaster response, and environmental monitoring. The solution seriously improves UAV network performance by reducing energy consumption and using peripheral network command-and-control software. Our results emphasize the versatile networking capacities of 5G-enabled drones, which provide new opportunities for UAV applications. |
نوع الوثيقة: | article |
وصف الملف: | electronic resource |
اللغة: | English |
تدمد: | 2405-8440 |
Relation: | http://www.sciencedirect.com/science/article/pii/S2405844024086912; https://doaj.org/toc/2405-8440 |
DOI: | 10.1016/j.heliyon.2024.e32660 |
URL الوصول: | https://doaj.org/article/758cb321d4ea4739a76b0004b5902f9e |
رقم الأكسشن: | edsdoj.758cb321d4ea4739a76b0004b5902f9e |
قاعدة البيانات: | Directory of Open Access Journals |
تدمد: | 24058440 |
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DOI: | 10.1016/j.heliyon.2024.e32660 |