Abstract

In order to improve the efficiency of data fusion in wireless sensor networks and reduce the energy consumption of the system, a new method of data fusion based on GSO algorithm for optimizing BP neural network is proposed. Sensor nodes sensing data, and then use the GSO algorithm to optimize the BP neural network data fusion. The simulation experiments results show that the proposed algorithm is better than the other typical algorithms and it improves the efficiency of data fusion, saves the energy consumption and prolongs the network life.

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