基于参数区间不确定性分析的无人机辅助物联网鲁棒优化

无人机辅助物联网技术被广泛应用于灾害应急通信中，但物联网设备的通信中存在多种不确定因素。针对位置参数区间存在不确定性的问题，提出了无人机辅助物联网通信的鲁棒优化方法。使用椭球不确定集对地面物联网设备位置参数区间不确定性进行描述，建立了包含不确定性的物联网设备通信鲁棒优化模型，并对模型进行了求解。为提高模型求解的准确性，提出一个有关位置参数区间不确定和椭球误差域之间的相关分析方法，分析了两类不确定因素对物联网设备通信模型的影响程度。以地面物联网设备最优部署和通信最小功率为目的，设计了仿真实验。结果表明，在不确定因素存在时，所提优化模型能有效实现地面物联网设备间的最优部署和通信功率最小化。

Robust optimization of UAV assisted Internet of Things based on parameter interval uncertainty analysis

Widely application of UAV-assisted IoT technology in disaster emergency communication, but there are many uncertainties in the communication of IoT equipment. Aiming at the problem of uncertainty in the position parameter interval, this paper proposed a robust optimization method for UAV-assisted Internet of Things communication. It used ellipsoid uncertainty set to describe the interval uncertainty of the location parameters of the ground IoT equipment, and established and solved the robust optimization model of IoT equipment communication with uncertainty. In order to improve the accuracy of the model, it proposed a correlation analysis method between the uncertainty of position parameter interval and ellipsoid error domain, and analyzed the influence of two kinds of uncertainty factors on the communication model of Internet of Things equipment. The simulation experiment designed for the purpose of optimal deployment of ground IoT equipment and minimum communication power. The results show that the proposed optimization model can effectively realize the optimal deployment and communication power minimization between ground IoT devices in the presence of uncertainties.