Data aggregation method of wireless sensor network based on the fusion of CNN and BiGRU
Due to the lack of comprehensive analysis of the data characteristics of wireless sensor network,the data aggregation delay is high.Therefore,the data aggregation method of wire-less sensor network based on the fusion of CNN and BiGRU is proposed.CNN is introduced to extract the global and structural features of wireless sensor network data,in which the two fea-ture extraction branches of CNN perform feature extraction on the global state and information structure of the original data respectively.On the basis of the improvement of long and short-term memory network(LSTM),the gating cycle unit network-BiGRU is introduced into the aggregation research of wireless sensor network data,and the forward GRU network and the backward GRU network are used to connect the characteristics of wireless sensor network data to realize the effective aggregation of data.In the test results,the design method for data of wire-less sensor networks stabilized within 6.5s.
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