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通过分析传感器网络概率模型,提出了一种检测概率的物联网信息融合算法。该算法结合了传感器网络概率模型,能对多传感器的观测信息有效地融合。算法首先根据传感器的物理属性及传感器节点与目标的距离,计算监测概率,利用监测概率计算多传感器对目标的监测权值;最后计算出信息融合的结果。仿真实验表明,该算法具有良好的融合效果。
By analyzing the probabilistic model of sensor network, an information fusion algorithm of Internet of Things (IOT) is proposed. The algorithm combines the sensor network probabilistic model and can effectively integrate the multi-sensor observation information. Firstly, the algorithm calculates the monitoring probability according to the physical properties of the sensor and the distance between the sensor node and the target, and then uses the monitoring probability to calculate the monitoring weight of the target by the multi-sensor. Finally, the result of information fusion is calculated. Simulation results show that the algorithm has a good fusion effect.