无人机网络连通性维护问题的硬度研究

V. Akram, O. Dagdeviren
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引用次数: 9

摘要

无人机网络最近引起了研究人员的极大兴趣。无人机网络的重要要求之一是保持网络中节点之间的连通性,以提供可靠的数据通信。无人机网络中的连通性维护可能是一项复杂的任务,因为移动任何节点都可能影响其他节点之间的现有链路。本文研究了无人机网络中的运动辅助连接恢复问题(MACR)。研究了已知NP-Hard问题之一的最小Steiner点数和有界边长Steiner树问题(STP-MSPBEL)。通过将STP-MSPBEL化简为MACR,证明了MACR问题也是NP-Hard问题。这一理论发现对于显示新出现问题的艰难性是很重要的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On Hardness of Connectivity Maintenance Problem in Drone Networks
Drone networks have attracted great interest from researchers very recently. One of the vital requirements of drone networks is to preserve the connectivity between nodes in the network for providing reliable data communication. Connectivity maintenance in a drone network can be a complicated task because moving any node can affect the existing links between other nodes. In this paper, we study on the movement assisted connectivity restoration problem (MACR) in drone networks. We investigate the Steiner tree problem with minimum number of Steiner points and bounded edge length (STP-MSPBEL) which is one of the known NP-Hard problems. We prove that MACR problem is also an NP-Hard problem by reducing STP-MSPBEL to MACR. This theoretical finding is important to show the hardness of the emerging problem.
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