基于格网系的无线网络多信道信息融合方法

为解决当前方法信息融合效果差、信息融合时延长的问题，提出基于格网系的无线网络多信道信息融合方法。采用模糊理论中的相关函数对无线网络传感器的支持度进行计算; 在格网系的设计下，利用知识元模型获取信息的融合集，并将其实例成信息单元，为无线网络多信道信息融合提供基础; 最后，在熵权法基础上，引入对无线网络多信道信息之间欧氏距离的测度，利用距离熵的概念获取信息的全局和局部融合权重，采用线性加权法对信道信息的全局和局部融合结果进行计算，最终实现了对无线网络多信道信息的融合。实验结果表明，所提方法在对无线网络多信道信息融合时，信息融合效果较好，并且信息融合时延短、实时性好，具有较高有效性和可行性。

Multi-Channel Information Fusion Method of Wireless Network Based on Grid System#br#

In order to solve the problems of poor information fusion effect and prolong information fusion in current methods，a multi-channel information fusion method for wireless networks based on grid system is proposed． The support degree of wireless network sensor is calculated by using the correlation function in the fuzzy theory． The knowledge element model is used to obtain the fusion set of information，and it is taken as an information unit to provide the basis for the multi-channel information fusion of wireless network． Based on the entropy weight method，the European distance measurement between the multi-channel information of wireless network is introduced． The global and local fusion weights of information are obtained by using the concept of distance entropy，and the global and local fusion results of channel information are calculated by using linear weighting method． Finally， the fusion of multi-channel information in wireless network is realized． The experimental results show that the proposed method is effective and feasible for multi-channel information fusion in wireless networks with short time delay and good real-time performance．