A multi-UAV clustering strategy for reducing insecure communication range
A multi-UAV clustering strategy for reducing insecure communication range
复制标题
一种减少不安全通信范围的多无人机集群策略
DOI：
10.1016/j.comnet.2019.04.028
复制
发表时间：
2019-07
影响因子：
5.6
通讯作者：
Min Geyong
中科院分区：
文献类型：
--
作者：
Wu Jiehong;Zou Liangkai;Zhao Liang;Al Dubai Ahmed;Mackenzie Lewis;Min Geyong
可以部署多个无人机（UAV）飞行编队来监控大面积区域。单个无人机在编队飞行时进行通信和交换信息。但是这种通信存在安全风险。无人机群活动范围与群通信范围之间的区域称为不安全区域，在该区域内进行多无人机通信会造成严重的信息泄漏。为了解决这个问题，本文从两个方面进行了研究，即协同控制和安全通信。为了实现多无人机编队的协同控制，提出了一种聚类算法来加快编队的收敛速度。通过设置飞行控制因子来加速多无人机的收敛，使无人机群形成机群。为了实现安全通信，采用分层虚拟通信环（HVCR）策略来缩小组通信的边界，最小化不安全范围。通过理论分析和实验验证了聚类算法和HVCR策略的有效性。在节点数为50和100的情况下，实验结果表明该分簇算法能够促进多无人机集群的形成。在节点数为25、30、35和40的情况下，HVCR策略可以将不安全区域的相对大小分别减小到65.33%、62.95%、61.50%和60.55%。
Multi-unmanned aerial vehicle (UAV) flight formations can be deployed to monitor large areas. Individual UAVs communicate and exchange information while formation flying. but, such communication presents a security risk. The area between the UAV group range and the group communication range is called the insecurity range and in this region multi-UAV communication can cause serious information leakage. To resolve this problem, this paper considers two aspects, namely, cooperative control and secure communication. To implement cooperative control, a clustering algorithm is presented to accelerate the speed at which the multi-UAV formation converges. By setting the flight control factor to accelerate the convergence of multi-UAV, the UAV group forms a flock. To facilitate secure communication, the hierarchical virtual communication ring (HVCR) strategy is deployed to reduce the boundary of group communication and minimize the insecure range. The effectiveness of the clustering algorithm and HVCR strategy is demonstrated via theoretical analysis and experiments. In the case of 50 and 100 nodes, the results show that the clustering algorithm can facilitate multi-UAV group flocks. In the case of 25, 30, 35 and 40 nodes, the HVCR strategy can reduce the relative size of the insecure range to 65.33%, 62.95%, 61.50% and 60.55%, respectively.
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影响因子：
3.9
作者：
Limin Wang
通讯作者：
Limin Wang
DOI：
--
发表时间：
--
期刊：
--
影响因子：
--
作者：
W. Kutta
通讯作者：
W. Kutta
DOI：
10.1109/acc.2007.4283121
发表时间：
2007-07
期刊：
2007 American Control Conference
影响因子：
--
作者：
Jiang Wang;V. Patel;C. Woolsey;N. Hovakimyan;D. Schmale
通讯作者：
Jiang Wang;V. Patel;C. Woolsey;N. Hovakimyan;D. Schmale
影响因子：
16.4
作者：
Seong-Woo Kim;S. Seo
通讯作者：
Seong-Woo Kim;S. Seo
影响因子：
3.9
作者：
Sun, Jiayi;Tang, Jun;Lao, Songyang
通讯作者：
Lao, Songyang