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由于无线传感器网络(WSNs)通信链路具有的状态过渡性和环境高度相关性,链路质量评估预测成为智能配电通信WSNs能否实现可靠传输的重要一环。文中通过建立智能配电通信WSNs链路质量评估预测模型,分析了模型的主要影响因素本底噪音扰动和信号强度衰减扰动。提出采用alpha-stable分布拟合本底噪音的方法,建立本底噪音扰动的数学模型;采用最小二乘法实时估计影响信号强度的环境参数,建立信号强度衰减扰动数学模型。最后,实验验证表明:建立的配电通信WSNs链路质量评估预测模型能准确评估和预测实际链路质量。
Due to the state transition of the wireless sensor network (WSNs) communication links and the high degree of environmental correlation, the link quality evaluation and prediction become an important part of the intelligent distribution communication WSNs can achieve reliable transmission. In this paper, by establishing intelligent WSNs link quality assessment prediction model, the main influencing factors of the model are noise floor disturbance and signal strength attenuation disturbance. The method of fitting noise floor with alpha-stable distribution is proposed and a mathematical model of background noise disturbance is established. The least square method is used to estimate the environmental parameters affecting the signal strength in real time, and a mathematical model of signal strength attenuation disturbance is established. Finally, the experimental verification shows that the established model of link quality assessment of distribution communication WSNs can accurately evaluate and predict the actual link quality.