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A Localized Critical-Node Detection Algorithm Based on Partial Routing Information in Swarming FANET

机译:一种基于蜂鸣粉丝中的部分路由信息的局部临界节点检测算法

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In the swarming unmanned aerial vehicles (UAVs) system integrated flying ad-hoc network (FANET), efficient and reliable critical nodes (the nodes whose removal will disconnect the network) detection is an important issue at present. In this paper, we proposed a localized critical nodes detection algorithm based on partial routing information (CNDPR), in which the to-be-detected target nodes require to communicate only with its 1-hop neighbors. The demonstration and simulation results indicate CNDPR has lower transmission overhead and time delay than several other typical algorithms, with a competitive accuracy.
机译:在蜂拥而至的无人机(无人机)系统集成的飞行ad-hoc网络(FANET)中,高效且可靠的关键节点(删除的节点将断开网络)检测是目前的重要问题。在本文中,我们提出了一种基于部分路由信息(CNDPR)的局部关键节点检测算法,其中待检测的目标节点需要仅与其1跳邻居通信。演示和仿真结果表明CNDPR具有比其他几种典型算法的传输开销和时间延迟较低,具有竞争精度。

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