Link Quality Prediction Method for Wireless Sensor Networks

Abstract

The invention discloses a method for predicting the link quality of a wireless sensor network, which includes the following steps: S1, using a Kalman filter algorithm to reduce the noise of the link quality parameters, using the maximum and minimum method to standardize the link quality parameters, and using The fuzzy C-means clustering algorithm divides the link quality level; S2, uses the XGBoost algorithm to train the link quality prediction model, and predicts the link quality level at the next moment through the prediction model. Considering the dynamic change of wireless sensor network link quality, the present invention provides an XGBoost-based wireless sensor network link quality prediction method, which can effectively predict the link quality at the next moment, and can improve network throughput, thereby improving The data forwarding efficiency of the network is improved, and it provides a basis for the upper layer routing protocol to select the communication link. In addition, this method has the advantages of prolonging the life of the network and saving node energy.

Description

technical field [0001] The invention relates to the technical field of wireless sensors, in particular to a method for predicting link quality of a wireless sensor network. Background technique [0002] Wireless sensor networks (Wireless Sensor Networks, WSNs) are composed of a large number of cheap miniature sensor nodes deployed in the monitoring area, and form a multi-hop self-organizing network through wireless communication. information about the perceived object and send it to the observer. Sensors, sensing objects and observers constitute the three elements of a wireless sensor network. Sensor nodes are limited in terms of energy, communication, computing, and storage, and the deployment environment is usually complex and changeable with various sources of interference, resulting in unreliable quality of communication links between nodes. The link quality prediction mechanism is the basis of topology control, routing protocols and mobility management, which can impr...

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Problems solved by technology

[0003] In related technologies, the assessment and prediction methods of WSNs link quality mainly include prediction methods based on link characteristics and probability estimation, but both methods have the problem of low data forwarding efficiency, which affects the link quality at the next moment. quality prediction

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