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Distributed Clustering for User Devices Under UAV Coverage Area during Disaster Recovery

机译:在灾难恢复期间UAV覆盖区域下用户设备的分布式群集

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An Unmanned Aerial Vehicle (UAV) is a promising technology for providing wireless coverage to ground user devices. For all the infrastructure communication networks destroyed in disasters, UAVs- battery life is challenging during service delivery in a post-disaster scenario. Therefore, selecting cluster heads among user devices plays a vital role in detecting UAV signals and processing data for improving UAV energy efficacy and reliable Connectivity. This paper focuses on the performance evaluation of the clustering approach performance in detecting wireless coverage services with improving energy efficiency. The evaluation performance is a realistic simulation for the ground-to-air channel Line of Sight (LoS). The results show that the cluster head can effectively link the UAVs and cluster members at minimal energy expenditure. The UAV's altitudes and path loss exponent affected user devices for detecting wireless coverage. Moreover, the bit error rate in the cluster heads is considered for reliable Connectivity in post-disaster. Clustering stabilizes the clusters linking the uncovered nodes to the UAV, and its effectiveness in doing so resulted in its ubiquity in emergency communication systems.
机译:无人驾驶飞行器(UAV)是一个有前途的技术,用于为地面用户设备提供无线覆盖。对于在灾害中销毁的所有基础设施通信网络,无人机 - 电池寿命在灾后场景中的服务交付期间充满挑战。因此,在用户设备之间选择群集头在检测UAV信号和处理数据以改善UV能量功效和可靠连接时扮演至关重要的作用。本文侧重于通过提高能源效率检测无线覆盖服务的聚类方法性能的性能评估。评估性能是对空气通道视线(LOS)的逼真模拟。结果表明,群集头可以在最小的能量消耗中有效地将无人机和集群成员联系起来。 UAV的高度和路径损耗指数影响了用于检测无线覆盖的用户设备。此外,群集头中的误码率被认为是在灾后中可靠的连接。聚类稳定将未被覆盖节点连接到无人机的集群,其效果所导致其在紧急通信系统中的无处不在。

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