Data Fusion Accuracy Model for Wireless Sensor Networks Based on Evolutionary Game

Abstract

The invention relates to a data fusion accuracy model for a wireless sensor network based on an evolution game. The data fusion accuracy model comprises three system models, namely a wireless sensor network model, a data fusion model, and a data fusion accuracy model based on the evolution game. Aiming at the accuracy problem of a data fusion technology in the wireless sensor network, the invention constructs an accuracy-based evolutionary game model for data fusion in the wireless sensor network. The model fully considers the topology change in a network structure due to attacks, energy and other issues, takes into account the selfishness of nodes in the process of data fusion, introduces an incentive mechanism, gives a dynamic evolution replicated dynamic equation based on the data fusion accuracy, proves that a theorem of an evolutionary stable strategy is reached under different parameters, and verifies the rationality and validity of a theorem proposed under the established model by simulation.

Description

technical field [0001] The invention belongs to the field of wireless sensor networks and relates to mathematical modeling, in particular to an evolutionary game-based wireless sensor network data fusion accuracy model. Background technique [0002] At present, wireless sensor networks are widely used in military, intelligent transportation, environmental monitoring, medical and health and other fields. Due to the limited storage capacity, battery energy and other resources of sensor nodes, data fusion technology is usually used to remove redundant information and reduce transmission. The amount of data, so as to achieve the purpose of saving energy. With the wide application of wireless sensor networks, which are data-centric and self-organizing, data fusion has always been the focus of wireless sensor network research; and if the accuracy of the collected data fusion is low, then the existence of the network and the data collection would be meaningless. Therefore, it is ...

AI Technical Summary

Problems solved by technology

With the wide application of wireless sensor networks, which are data-centric and self-organizing, data fusion has always been the focus of wireless sensor network research; and if the accuracy of the collected data fusion is low, then the existence of the network and the data collection of will be meaningless

[0005] The biggest problem facing wireless sensor networks at present is that the resources of nodes are limited, and the second is the accuracy of data fusion.

Because the data fusion technology purely at the expense of network performance will undoubtedly increase the consumption of limited resources, and the realization of high accuracy of data fusion has always been expected by researchers.

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