Multi Source Information Matching and Fusion Method in Wireless Network Based on Fuzzy Set

Abstract

The current wireless network information fusion matching method is based on the calculation of the uncertainty of a large number of data samples, and gets the information fusion results according to the corresponding decision. However, due to the uncertainty of data samples, it is difficult to complete statistics, which leads to low processing accuracy and poor information fusion effect of information fusion matching method. In order to solve the above problems, a multi-source information matching and fusion method based on fuzzy set is studied. After matching with multi-source information, Markov distance is used to allocate the information. According to the probability of supporting information conflict, information fusion rules are formulated, and multi-source fusion is realized by using fuzzy sets. Simulation results show that the proposed information fusion method can reduce the energy consumption of network nodes by 81.4%, and has high fusion accuracy and reliability.