Wireless link quality prediction method in high DOF (Degree of Freedom) underwater sensor network

Abstract

The invention discloses a wireless link quality prediction method in a high DOF (Degree of Freedom) underwater sensor network. The method comprises the steps of: by taking the hierarchical high DOF underwater sensor network formed by a sea surface Sink, underwater anchor nodes and underwater common sensor nodes as a research object, establishing a network weighted graph sequence model of the hierarchical high DOF underwater sensor network and a corresponding link quality adjacent matrix; based on characteristic analysis on a correlation function and a partial correlation function of a link quality sequence, carrying out time sequence model identification on the link quality sequence; by a pproximate maximum likelihood estimation method and a SBC criterion, further estimating model parameters and completing model order determination so as to implement link quality prediction between the anchor nodes and the sensor nodes; and finally, analyzing a link quality prediction result by utilizing a preset prediction accuracy threshold so as to carry out error control and model optimization. The wireless link quality prediction method is high in prediction accuracy and high in feasibility and can be widely applicable to sensor network link quality prediction of various underwater scenes.

Description

technical field [0001] The invention relates to the field of wireless communication networks, in particular to a wireless link quality prediction method in a high-degree-of-freedom underwater sensor network. Background technique [0002] Underwater sensor network can monitor various underwater targets with high spatial and temporal resolution, and it is a promising technology. In recent years, with the continuous improvement of underwater acoustic communication technology, the optimization of MAC protocol and the development of autonomous underwater vehicles, this technology has a wider range of applications, such as seismic data collection, pollution monitoring, auxiliary navigation, marine exploration and Tactical surveillance, etc. [0003] However, compared with conventional terrestrial sensor networks, the operation of underwater sensor networks still faces many limitations. These limitations mainly stem from the harsh underwater environment. On the one hand, due to ...

AI Technical Summary

Problems solved by technology

Existing research on link quality mostly focuses on link quality assessment, but rarely involves link quality prediction, which obviously cannot meet the application needs of time-varying and space-varying high-degree-of-freedom underwater sensor networks, and even leads to The upper layer protocol of the network fails, and the data cannot be transmitted

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