Data fusion algorithm for improving energy utilization rate and service performance of wireless sensor network

Abstract

The invention discloses a data fusion algorithm for improving energy utilization rate and service performance of a wireless sensor network, wherein the data fusion algorithm belongs to the field of wireless communication technology. The data fusion algorithm comprises the steps of firstly, establishing the wireless sensor network in a monitored area, performing clustering on the wireless sensor network by means of a classical clustering algorithm LEACH; then, after member nodes in the cluster transmit data which are acquired through sensing to a cluster head node, transmitting all received data and the data which are acquired itself to a convergent node by the cluster head node; extracting partial data as a training sample by the convergent node, training a neural network model for obtaining a neural network parameter; and finally, establishing the neural network by the convergent node and performing data fusion verification on the data information which is acquired by each sensor node. The data fusion algorithm has advantages of greatly reducing data communication amount in a wireless sensor network, reducing network energy consumption, ensuring high accuracy in data acquisition, and prolonging network life cycle.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, in particular to a data fusion algorithm for improving the energy utilization rate and service performance of a wireless sensor network. Background technique [0002] Since the 21st century, with the rapid development of micro-electromechanical systems, processors, data storage and wireless communication technologies, wireless sensor networks have emerged as a new type of data acquisition network, by connecting sensor nodes in a certain area through wireless networks , forming a unified information collection and management system. Due to its small size, low cost, low power consumption, and multi-functional advantages, wireless sensor networks have attracted more and more attention, and have been widely used in different scenarios and conditions. Since the wireless sensor network presents the collected data information in front of people through the data transmission network, it c...

AI Technical Summary

Problems solved by technology

[0016] Although the BPNDFA algorithm has many advantages and is suitable for wireless sensor networks, it sometimes has the problem of slow training speed and falling into local optimum and unable to converge.

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