A smooth-trajectory mobility model for airborne networks

Yuewu Dong, Muqing Wu
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引用次数: 1

Abstract

Mobility models used for the design and evaluation of routing protocols for airborne networks (ANs) must catch the mobility features of the airborne vehicles. Airborne vehicles in ANs show different mobility features, such as moving with high speed and subject to some physical constraints. But existing mobility models have limitations for ANs such as sharp turn, sudden stop, etc. So, we propose a new mobility model, smooth-trajectory mobility model. According to the movement pattern of this model, the airborne vehicles randomly choose to move straight forward or make clockwise turn (or counterclockwise turn) at the transition instants to mimic the realistic movement. And to ensure smooth trajectories, the vehicles do not change their heading directions at transition instants. Because node spatial distribution is a fundamental feature of a mobility model, we first prove that the uniform distributions of location and heading direction are remained if there is a uniform initialization. Secondly, through stability analysis, we show location and heading direction are uniformly distributed regardless of the initial distribution. Also, we validate the theoretic results by simulation. Furthermore, by changing the parameters of this model, we can extend it to various mobility models.
机载网络的平滑轨迹移动模型
用于机载网络路由协议设计和评估的机动性模型必须捕捉机载飞行器的机动性特征。在无人驾驶网络中,机载车辆表现出不同的机动性特征,例如高速移动和受到一些物理约束。但现有的机动模型对自动驾驶汽车存在急转弯、急停等局限性。因此,我们提出了一种新的迁移模型——平滑轨迹迁移模型。根据该模型的运动模式,飞行器在过渡时刻随机选择直线前进或顺时针转弯(或逆时针转弯)来模拟真实的运动。为了保证轨迹的平稳,飞行器在过渡时刻不会改变方向。由于节点空间分布是移动模型的基本特征,我们首先证明了在初始化均匀的情况下,节点位置和方向保持均匀分布。其次,通过稳定性分析表明,无论初始分布如何,位置和航向都是均匀分布的。并通过仿真验证了理论结果。此外,通过改变该模型的参数,我们可以将其扩展到各种移动模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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