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Multi-parameter real-time monitoring type data transmission method and system

A data transmission method and real-time monitoring technology, applied in digital transmission systems, transmission systems, baseband systems, etc., can solve the problem that sensor nodes have limited processing capacity, storage space, communication bandwidth and energy, cannot process and store data, and shorten node life. and other problems, to achieve the effect of improving wireless transmission efficiency and robustness, reducing acquisition dimensions, and enhancing real-time performance.

Inactive Publication Date: 2016-07-20
CHINA AGRI UNIV
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Problems solved by technology

In these applications, especially in the multi-parameter real-time monitoring process, each sensor node will collect a large amount of data, but the processing power, storage space, communication bandwidth and energy resources of the sensor node are very limited, and cannot be as traditional information systems. Process and store large amounts of data
At the same time, the transmission of a large amount of data consumes too much energy of the node and shortens the life of the node

Method used

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  • Multi-parameter real-time monitoring type data transmission method and system
  • Multi-parameter real-time monitoring type data transmission method and system
  • Multi-parameter real-time monitoring type data transmission method and system

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Embodiment Construction

[0039] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0040] Compressed sensing theory (CS, CompressSensing), as a new method of information acquisition, was initially used to solve the problem of image signal acquisition and processing. The theory points out that as long as the signal can be represented in a suitable orthogonal base sparsity, the signal can obtain the global observation value at a frequency much lower than the Nyquist sampling rate, that is, the signal can be sampled at a lower sampling frequency, and The original signal can be reconstructed from the observations with high probability and high precision by an appropriate reconstruction algorithm.

[0041] Applying compressive sensing theory to wireless sens...

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Abstract

The invention discloses a multi-parameter real-time monitoring type data transmission method and system, and relates to the technical field of information processing and data transmission. A biorthogonal wavelet transform matrix is constructed to achieve sparse representation of sensing data, signal sparsity conditions of compressed sensing are satisfied, high-precision data reconstruction is realized by an orthogonal matching pursuit (OMP) algorithm, meanwhile, the collection dimension of the original sensing data is reduced, the instantaneity of the system is further enhanced, in addition, the data transmission amount can be effectively reduced, the transmission cost and the energy consumption are reduced, the lifetime of a sensor network is effectively prolonged, and the wireless transmission efficiency and robustness during multi-parameter monitoring are improved.

Description

technical field [0001] The invention relates to the technical field of information processing and data transmission, in particular to a data transmission method and system for real-time monitoring of multiple parameters. Background technique [0002] In recent years, wireless sensor networks have been widely used in real-time monitoring of the Internet of Things. In these applications, especially in the multi-parameter real-time monitoring process, each sensor node will collect a large amount of data, but the processing power, storage space, communication bandwidth and energy resources of the sensor node are very limited, and cannot be as traditional information systems. Process and store large amounts of data. At the same time, the transmission of a large amount of data consumes too much energy of the node and shortens the life of the node. Therefore, it is necessary to find an efficient data information transmission technology to reduce network energy consumption as much...

Claims

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Application Information

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IPC IPC(8): H04L25/03H04W84/18
CPCH04L25/03987H04W84/18Y02D30/70
Inventor 高万林朱佳佳宋越任延昭陈雪瑞陶莎于丽娜张港红
Owner CHINA AGRI UNIV
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