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

A wireless link quality and underwater sensor technology, applied in network topology, wireless communication, transmission monitoring, etc., can solve the problems that cannot meet the application needs of underwater sensor networks, data cannot be transmitted, network upper-layer protocol failure, etc., to improve Adaptability and prediction accuracy, wide applicability, high feasibility effect

Active Publication Date: 2018-10-19
NANJING UNIV OF SCI & TECH
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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 tim

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

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Embodiment 1

[0079] This embodiment is described in detail through the following three aspects.

[0080] (1) Network modeling

[0081] For such as figure 2 As shown, an underwater sensor network deployed in a shallow sea environment divides its running time into several equal-length time slots {slot 1, slot 2,...}.

[0082] weighted graph Indicates the topology snapshot of the network at time slot t. Among them, SN, AN and o respectively represent the set of sensor nodes, the set of anchor nodes and the Sink on the sea surface, the edge set E is the set containing all directed links, and the weight set W is the chain containing all links in the time slot Road quality collection. If the link between two nodes belongs to the edge set E, that is, the link quality is greater than 0, then they are regarded as communication neighbors.

[0083] will weight the graph Using the adjacency matrix M t express. Therefore, a time-varying dynamic underwater network can be modeled as a set of w...

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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 ...

Claims

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Application Information

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IPC IPC(8): H04W24/02H04W24/06H04B17/373H04B17/391H04W84/18
CPCH04W24/02H04W24/06H04W84/18H04B17/373H04B17/391
Inventor 王力立尹欣杰张新宇黄成
Owner NANJING UNIV OF SCI & TECH
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