Method and device for data collection of dynamic clustering wireless sensor network based on compressed sensing

Abstract

The embodiment of the invention discloses a compressive sensing based dynamic clustering wireless sensor network data collecting method. The compressive sensing based dynamic clustering wireless sensor network data collecting method comprises the steps of obtaining one or more event source positions in a wireless sensor network, determining a sensor node nearest to each event source position as a cluster head and clustering the sensor nodes in the wireless sensor network with each cluster head as center; collecting data in each cluster, wherein the data sensed by the sensor nodes in each corresponding cluster are collected by means of a compressive sensing method. The embodiment of the invention discloses further provides a compressive sensing based dynamic clustering wireless sensor network data collecting device. The compressive sensing based dynamic clustering wireless sensor network data collecting device and method can use an event source as the center to perform clustering, utilize the compressive sensing technology to collect the data in the clusters, perform dynamic clustering on the wireless sensor network according to position change of the event source and accordingly enable the data collected in the nodes in the clusters to be high in dependency, transmission times can be fewer at the same accuracy, and accordingly the service life of the network is prolonged.

Description

Technical field [0001] The embodiments of the present invention relate to the field of communications, and in particular to a method and device for data collection of a dynamic clustered wireless sensor network based on compressed sensing. Background technique [0002] Wireless Sensor Networks (WSN, Wireless Sensor Networks) has brought about a revolution in information perception with its low power consumption, low cost, distributed and self-organized characteristics. WSN consists of a large number of tiny sensor nodes that integrate wireless communication, information collection, and information processing. Each sensor node uses its own sensor to collect information in the surrounding environment, and then transmits the information to the sink node in the network. As the energy of sensor nodes is extremely limited, collecting WSN terminal data with high precision and low energy consumption has become an urgent problem to be solved. [0003] The traditional WSN data collection me...

AI Technical Summary

Problems solved by technology

[0004] Since there is a large amount of redundant data in the original data, the direct transmission of the original data will cause a great waste of energy, and it is not conducive to prolonging the life of the network

In the existing technology, the position of the event source that affects the data collected by the sensor is not considered when clustering, so the correlation of the data in the cluster will be low. When data is transmitted, more observation times are required, resulting in more transmission times, which is not conducive to energy saving and prolonging the life of the network, and the nodes in the cluster only periodically detect the sensor deployment area. Once an emergency occurs in the area, it can only be roughly Accuracy to collect data at and near the source of the incident

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