Data collection method and device

Abstract

The embodiment of the invention discloses a data collection method and device, and is applied to the technical field of the wireless sensing network. The method comprises the following steps: obtaining multiple pieces of compressed collection data, wherein the multiple pieces of compressed collection data are obtained in a way that a plurality of sensor nodes independently use different random measurement matrixes to carry out independent linear compression on the collected collection data; carrying out simultaneous low-rank and joint sparse modeling on the multiple pieces of compressed collection data to obtain a compression sensing reconstruction model based on a simultaneous low-rank and joint sparse structure; according to the compression sensing reconstruction model, adopting a joint reconstruction algorithm to reconstruct the multiple pieces of compressed collection data to obtain the collection data collected by the plurality of sensor nodes. Compared with the traditional data collection method, the data collection method disclosed by the invention is characterized in that the compression ratio and the reconstruction performance of the data can be effectively improved while engineering implementation is guaranteed to be simple, and network energy consumption is reduced.

Description

technical field [0001] The invention relates to the technical field of wireless sensor networks, in particular to a data collection method and device. Background technique [0002] In WSN (wireless sensor network, wireless sensor network), due to the hardware limitations of SN (sensor node, sensor node) in terms of its own battery capacity, storage capacity, computing and communication capabilities, the data collection and compression at the SN end are reduced. And transmission energy consumption, prolonging the life cycle of nodes is the core issue of WSN research. Compressed sensing technology is very suitable for WSN because of its simple linear compression processing characteristics, superior reconstruction performance and easy distributed processing. [0003] The proposal of DCS (distributed compressed sensing) theory realizes that in WSN, by using the shared sparse components and unique sparse components in the data collected by each sensor, the data collected indepen...

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Problems solved by technology

[0005] However, although the existing data collection mechanism is simple in engineering implementation, it cannot effectively improve the data compression rate and reconstruction performance, resulting in excessive network energy consumption.

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