WSN missing data reconstruction method based on Bayesian network model

A Bayesian network and missing data technology, applied in the field of missing data reconstruction based on Bayesian network model of wireless sensor nodes, to achieve the effect of reducing the data error rate

Active Publication Date: 2019-07-12
CHONGQING UNIV OF POSTS & TELECOMM
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Problems solved by technology

The traditional missing data reconstruction method uses the spatial-temporal correlation or attribute correlation of its own sensory data to reconstruct the missing data, but the processed data is the sensor

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  • WSN missing data reconstruction method based on Bayesian network model
  • WSN missing data reconstruction method based on Bayesian network model
  • WSN missing data reconstruction method based on Bayesian network model

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Embodiment Construction

[0035] Embodiments of the present invention are described below through specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific implementation modes, and various modifications or changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the diagrams provided in the following embodiments are only schematically illustrating the basic concept of the present invention, and the following embodiments and the features in the embodiments can be combined with each other in the case of no conflict.

[0036] The scenario considered by the present invention is that in a WSN in mobile mode, wireless sensor nodes are embedded in vehicles or devices carried by ...

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Abstract

The invention relates to a WSN missing data reconstruction method based on a Bayesian network model, and belongs to the technical field of wireless sensor network data processing. The method comprisesthe following steps: firstly, dividing each time period into different time slots, wherein each time slot comprises three time periods of data collection, node evaluation and missing data reconstruction; a data collection stage: the sensor node containing the missing data sends data request information to an adjacent node; a node evaluation stage: the sensor node selects an optimal data candidatenode according to the judgment standard of the optimal trust node; and a missing data reconstruction stage: the sensor node containing the missing data firstly establishes a Bayesian network model, then takes the data of the optimal candidate node as an auxiliary variable and introduces the auxiliary variable into the Bayesian network model, and calculates and selects the data corresponding to the maximum conditional probability to replace the missing value of the sensor. According to the invention, the data error rate is reduced, and the requirement of real-time information processing of thenode in a mobile environment can be met.

Description

technical field [0001] The invention belongs to the technical field of wireless sensor network data processing, and relates to a method for reconstructing missing data of wireless sensor nodes in a mobile scene based on a Bayesian network model. Background technique [0002] With the wide application of Wireless Sensor Network (WSN) in the fields of environmental perception, industrial process control, ecological monitoring, and emergency solutions, its data-centric characteristics have become increasingly prominent. Data itself is the carrier of information, and true and complete data is the basic premise to support data analysis and decision-making. WSN has strict requirements on data integrity, correctness and punctual delivery. However, due to the limited storage capacity, communication capacity, computing power of sensing nodes, external failures, human interference and other reasons, the collected sensing data usually has inevitable missing or abnormalities. Therefore,...

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Application Information

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IPC IPC(8): H04W4/38H04W28/04
CPCH04W28/04H04W4/38
Inventor 余翔樊霞廖明霞段思睿
Owner CHONGQING UNIV OF POSTS & TELECOMM
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