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首页> 外文期刊>IEEE Transactions on Vehicular Technology >3D Transformative Routing for UAV Swarming Networks: A Skeleton-Guided, GPS-Free Approach
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3D Transformative Routing for UAV Swarming Networks: A Skeleton-Guided, GPS-Free Approach

机译：3D UAV蜂拥网络的变换路由：一种骨架导向，无用的GPS方法

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摘要

A challenging issue for a three-dimensional (3D) unmanned aerial vehicle (UAV) network is addressed in this paper - how do we efficiently establish and maintain one or multiple routes among swarm regions (i.e., groups of UAVs), during the dynamic swarming process? Inspired by the human nervous system which can efficiently send brain signals to any tissue, we propose a 3D transformative routing (3D-TR) scheme, which consists of three novel designs: (1) Proactive routing skeleton establishment: 3D-TR first identifies the skeleton of the UAV network, which has a trunk-stem-stemlet (TSS) structure. The trunk is located in the relatively stable area of the network (i.e., the central area), and stems/stemlets reside in the outer areas with more swarming movements. Such a TSS skeleton enables the easy establishment of the path(s) with low end-to-end delay and a high packet delivery rate. (2) Reactive, transformative path selection: The 3D-TR scheme can smoothly adapt to the formation changes through dynamic TSS adjustments. (3) Bottleneck-aware route maintenance: We propose an efficient scheme to recognize the bottleneck nodes in each path and build the diversified routing pipes with different thickness/stability levels. The proposed routing scheme is distributed (only uses local message exchanges among 1-hop neighbors) and does not require the GPS (global positioning system) positions of the UAVs. Extensive simulations are conducted to validate the performance of the proposed 3D-TR scheme during the dynamic UAV swarming process.
机译：本文解决了三维（3D）无人机（UAV）网络的具有挑战性的问题 - 在动态蜂拥而至，我们如何有效地建立和维护一个或多个路线（即，无人机组），在动态蜂拥而至过程？受到人类神经系统的启发，可以有效地将大脑信号发送到任何组织，我们提出了一种3D变换路由（3D-TR）方案，该方案由三个新颖的设计组成：（1）主动路由骨架建立：3D-TR首先识别UAV网络的骨架，其具有干阀螺柱（TSS）结构。该行李箱位于网络的相对稳定的区域（即，中心区域），茎/茎驻留在外部区域，具有更蜂拥而至的运动。这种TSS骨架使得能够轻松地建立具有低端到端延迟的路径和高分分量输送速率。 （2）反应性，变换性路径选择：3D-TR方案可以通过动态TSS调整顺利地适应地层变化。 （3）瓶颈意识的路线维护：我们提出了一种有效的方案来识别每个路径中的瓶颈节点，并构建具有不同厚度/稳定性水平的多样化路由管。所提出的路由方案分布（仅在1跳邻居之间使用本地消息交换），并且不需要UAV的GPS（全局定位系统）位置。进行广泛的仿真以验证在动态UAV蜂鸣过程中提出的3D-TR方案的性能。

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