针对不同视频应用的飞行Ad Hoc网络拓扑、移动性模型和IEEE标准的评估

IF 1.2 Q3 MULTIDISCIPLINARY SCIENCES
Ghassan A. QasMarrogy
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引用次数: 5

摘要

如今,随着相互连接的移动设备的技术进步,无人机变得非常流行,被称为飞行自组织网络(FANET)。它被用于世界范围内大多数必要的生活场景,如视频录制,搜索和救援,军事任务,在不同区域之间移动物品等等。这导致有必要评估这些飞行无人机之间的不同网络策略,这对于提高它们在野外的性能质量至关重要。为了有效地使用FANET,在大量变化的拓扑(如不同的视频大小、不同类型的移动模型、最新的无线保真标准、使用的路由协议类型、安全问题等)中为不同类型的数据提供稳定可靠的传输,必须解决几个挑战。在本文中,将对FANET进行全面的分析,以评估和增强这些挑战,这些挑战涉及不同的视频类型、移动性模型和IEEE 802.11n标准,通过测量吞吐量、重传尝试和延迟指标来获得最佳性能。结果表明,使用Ad Hoc按需矢量时,高斯-马尔可夫迁移模型的结果最高,延迟最低,而对于重传尝试,2.4 GHz频率比5 GHz频率覆盖面积更大,具有最低的重传尝试率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of Flying Ad Hoc Network Topologies, Mobility Models, and IEEE Standards for Different Video Applications
Nowadays, drones became very popular with the enhancement of the technological progress of moving devices with a connection to each other, known as Flying Ad Hoc Network (FANET). It is used in most worldwide necessary life scenarios such as video recording, search and rescue, military missions, moving items between different areas, and many more. This leads to the necessity to evaluate different network strategies between these flying drones, which are essential to improve their quality of performance in the field. Several challenges must be addressed to effectively use FANET, to provide stable and reliable transmission for different types of data during vast changing topologies, such as different video sizes, different types of mobility models, recent Wireless Fidelity standards, types of routing protocols used, security problems, and many more. In this paper, a fully comprehensive analysis of FANET will be done to evaluate and enhance these challenges that concern different video types, mobility models, and IEEE 802.11n standards for best performance, by measuring throughput, retransmission attempt, and delay metrics. The result shows that Gauss–Markov mobility model gives the highest result using Ad Hoc On-Demand Vector and lowest delay, whereas for retransmission attempts, 2.4 GHz frequency has the lowest as it can reach more coverage area than 5 GHz.
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来源期刊
ARO-THE SCIENTIFIC JOURNAL OF KOYA UNIVERSITY
ARO-THE SCIENTIFIC JOURNAL OF KOYA UNIVERSITY MULTIDISCIPLINARY SCIENCES-
自引率
33.30%
发文量
33
审稿时长
16 weeks
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