Measurement of Air-Ground link over Virtual Forces Algorithm For Autonomous Aerial Drone Systems, VBCA

M. Mahamat, Adel Omer Dahmane, F. Domingue
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Abstract

With recent technological advances, the capabilities of UAVs have rapidly increased and their use and role in society have also changed from the military to the civilian domain. Many studies have been made for the collaboration of several UVAS to accomplish a mission. But most of the studies done on the subject of FANET do not propose any overall approach to the network itself and remain fragmented, generally based on the final mission. The solutions proposed are not reproducible on other missions. This aspect pushes us to propose a solution independent of the mission and easily reproducible. Otherwise the positioning of nodes in FANETs can provide a mission-independent response. Reason why the solutions for positioning network nodes are numerous. One in particular offers a comprehensive and interesting approach. It is VBCA. This method has the particularity of positioning the nodes in 3-D. In general, the 3-D positioning becomes an NP-Hard problem. But with VBCA positioning is relatively simple. In this paper we present an optimization of communication in a topology based on the VBCA (Virtual forces Based Clustering Algorithm). The topology is optimized by the VBCA algorithm for a better coverage area. This method is 40% more efficient than existing approaches in terms of area coverage. In the first versions of VBCA, the performances in terms of communication between nodes have not been tested. The resulting network performances are very encouraging, in terms of throughput, delay, packets loss and signal strength. Therefore, this work provides a first answer to the performances in terms of network.
基于虚拟力算法的自主无人机系统空地连接测量,VBCA
随着近年来的技术进步,无人机的能力迅速提高,其在社会中的使用和作用也从军事领域转变为民用领域。为了完成一项任务,已经对几个UVAS进行了许多研究。但是,关于FANET主题的大多数研究都没有提出任何关于网络本身的总体方法,并且仍然是零散的,通常基于最终任务。所提议的解决办法在其他特派团中无法复制。这方面促使我们提出一种独立于任务且易于复制的解决方案。否则,fanet中节点的定位可以提供与任务无关的响应。定位网络节点的解决方案众多的原因。其中一个特别提供了一个全面而有趣的方法。是VBCA。该方法具有三维节点定位的特殊性。一般来说,三维定位是一个NP-Hard问题。但与VBCA定位相对简单。本文提出了一种基于虚拟力聚类算法(VBCA)的拓扑通信优化方法。利用VBCA算法对拓扑结构进行了优化,以获得更好的覆盖面积。就面积覆盖而言,这种方法的效率比现有方法高40%。在VBCA的第一个版本中,节点之间的通信性能还没有经过测试。由此产生的网络性能非常令人鼓舞,在吞吐量,延迟,数据包丢失和信号强度方面。因此,本研究为网络环境下的性能提供了第一个答案。
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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