基于中介理论的无线传感器网络加权数据融合

Weighted data fusion in wireless sensor networks based on medium theory

多传感器加权数据融合算法大部分要对测量方差进行估计,必需占用额外的资源和能量,不适合无线传感器网络。本文将中介理论中的真值程度度量用于数据融合,根据距离比函数定义各传感器的权重。该算法运算量小,不需要存储传感器节点的历史数据进行测量方差的估计,当被测对象变化较快时能进行实时动态的估计融合。仿真结果表明,该算法估计精度高、抗信道衰落能力好。

Because consuming more resource and energy to estimate the measurement variance,most multi-sensor weighted data fusion algorithms are not suitable for wireless sensor networks.The measure ment of medium truth scale to deal with data fusion is used in this paper.The sensor’s weight is defined according to the function of distance ratio.The algorithm is simple and need not estimate the variance by storing the history data of the sensor node,so it can realize the real-time and dynamic fusion for the changed variable.The simulation results show that the algorithm exhibits better evaluation accuracy and good ability of anti-fading channel.