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The Research of Slot Adaptive 4D Network Clustering Algorithm Based on UAV Autonomous Formation and Reconfiguration

机译:基于UAV自主形成和重新配置的时隙自适应4D网络聚类算法研究

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摘要

Being independent of any fixed equipment, Ad Hoc wireless sensor networks, a kind of acentric and self-organized wireless network, possesses some features such as easiness of deployment, strong invulnerability and flexibility of networking, which leads to a promising application prospect in terms of UAV military and civilian use. This paper proposes a new slot adaptive 4D network clustering algorithm based on UAV autonomous formation and reconfiguration to solve the problem of UAV Ad Hoc network such as networking confusion, poor network reconstruction performance, huge energy consumption and other issues. The algorithm can optimize the topology of UAVs network. We build the network topology and generate clustering network by the slot adaptive 4D network clustering algorithm in Matlab. According to the real combat of UAV, four states are simulated and analyzed. The simulation results validate the feasibility of the slot adaptive 4D network clustering algorithm. The clustering structure generated by the slot adaptive 4D network clustering algorithm is robust and the algorithm is suitable for the UAV group operation.
机译:独立于任何固定设备,Ad Hoc无线传感器网络,一种贵重组织和自组织无线网络,拥有一些功能,例如部署的容易性,强大的无懈可击性和网络的灵活性,这导致了有希望的应用前景无人机军事和民用。本文提出了一种基于UAV自主地层和重新配置的新的插槽自适应4D网络聚类算法,解决了UV临时网络问题,如网络混淆,网络重建性能差,巨大能源消耗等问题。该算法可以优化UAVS网络的拓扑。我们通过Matlab中的插槽自适应4D网络聚类算法构建网络拓扑并生成聚类网络。根据UAV的真实战斗,模拟并分析了四种状态。仿真结果验证了插槽自适应4D网络聚类算法的可行性。由时隙自适应4D网络聚类算法生成的聚类结构是鲁棒的,并且该算法适用于UAV组操作。

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