Abstract
Aiming at the problems of low localization accuracy, high energy consumption and delay of transmission in wireless sensor networks, a wireless sensor network data fusion method is proposed. Combined with the theory of D-S argument, the wireless sensor network system model is first constructed. Then based on the analysis of ACO (Ant Colony Optimization) and MST (Minimum Spanning Tree) methods, a wireless sensor network data fusion method is proposed. The simulation results show that the larger the number of nodes in WSN is, the larger the energy consumption and delay are. As the moving speed of Sink node increases, the average transmission delay decreases and the useful data rate increases. The average energy The consumption is also gradually increasing; the performance of proposed WSN data fusion method is better than that of ACO and MST.
Highlights
Wireless Sensor Network (WSN) is a distributed sensor network
The essence is to “move the fusion computing to the data”, which enables It overcomes the shortcomings of traditional data fusion algorithms, reduces network bandwidth requirements, reduces energy consumption and delay, and enhances network stability while achieving better data fusion effects
A data fusion method based on the theory of D-S argumentation is proposed
Summary
Wireless Sensor Network (WSN) is a distributed sensor network. It is a multi-hop self-organizing network formed by wireless communication. The WSN data fusion algorithm is currently based on the traditional client/server (C/S) model In this model, the sensor node is regarded as a Client, and the Sink node is regarded as a Server. The Sink node collects data transmitted from each sensor node according to a routing protocol, and performs centralized fusion processing. The essence is to “move the fusion computing to the data”, which enables It overcomes the shortcomings of traditional data fusion algorithms, reduces network bandwidth requirements, reduces energy consumption and delay, and enhances network stability while achieving better data fusion effects. Zambian et al [26,27] proposed a new energy-efficient structural data fusion protocol based on the energy consumption of the transmitted data, which consumes too much energy compared to the local data processing of the node. The simulation of the proposed data fusion protocol in energy consumption, reliability, the timeliness of data transmission has obvious advantages over traditional methods
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