基于移动性感知和流量驱动的FANET邻居发现

Yilei Shi, Jie Zhang, Lei Ding, Lina Zhu, Tom H. Luan
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引用次数: 0

摘要

在FANET中,邻居发现是通过频繁广播信标消息来实现的。然而,无人机的高速运动将导致网络拓扑结构的剧烈变化,并且它们携带的能量通常是有限的。因此,实现无人机间快速、高效、低能耗的自组网技术是一个迫切需要解决的问题。在本文中,我们提出了一种无人机机动和流量驱动的自适应邻居发现方法。首先,分析了FANET的发现场景。然后,对邻居发现过程进行统计分析,得出邻居发现性能与机动性和流量驱动之间的关系。根据我们的理论分析,最优邻居发现可以自适应调整信标广播频率。最后,仿真结果表明,该方案在开销和精度方面都有较好的性能,能够适应FANET场景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mobility Aware and Traffic Driven Neighbor Discovery For FANET
In FANET, neighbor discovery is achieved by frequently broadcasting beacon messages. However, the high-speed movement of UAVs will lead to drastic changes in the network topology, and the energy they carry is usually limited. Therefore, realizing fast, efficient, and low-energy ad hoc network technology between UAVs is an urgent problem that needs to be solved. In this paper, we propose UMBND, a UAV-Mobility and Traffic-Driven Adaptive Neighbor Discovery method. First, we analyze the discovery scene of FANET. Then, we statistically analyze the neighbor discovery process and derive the relationship between neighbor discovery performance and mobility and traffic-driven. Based on our theoretical analysis, the optimal neighbor discovery can adaptively adjust the beacon broadcast frequency. Finally, the simulation results show that the scheme has better performance in terms of overhead and accuracy and can be adapted to FANET scenarios.
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