Data processing method and system suitable for wireless distributed perception system

Abstract

The invention provides a data processing method and system suitable for a wireless distributed perception system. The data processing method includes the following steps that sensor nodes collect perception data with relevance; intermediate nodes process the perception data by utilizing random linear network codes; the number of the sensor nodes is N, the number of aggregation nodes is m, source data are supposed to be x, data received by the aggregation nodes are y, the aggregation nodes combine received input vectors to acquire a system of linear equations, and due to the fact that m (N and the system of linear equations) is underdetermined, the problem of solving the underdetermined system of equations is converted to the problem of minimizing l1, and original perception data are reconstructed; a receiving terminal receives the original perception data. The data processing method and system suitable for the wireless distributed perception system have the advantages that due to the fact that the compressed perception theory is introduced to the decoding stage of the aggregation nodes, the problem of 'all or nothing' is effectively solved.

Description

technical field [0001] The present invention relates to a data processing method and system, in particular to a data processing method and system suitable for a wireless distributed sensing system. Background technique [0002] With the continuous advancement of technologies in various fields such as integrated circuits and wireless communications, wireless distributed sensing systems have been widely used in industrial and agricultural control, biomedicine, environmental quality monitoring, emergency rescue and disaster relief, and national defense and military fields. In the wireless distributed sensing system, after each distributed node collects local data, the data is directly or indirectly transmitted to the sink node through the wireless link, and then the overall information is obtained through the fusion processing of the sink node. Therefore, the transmission and processing strategy of sensing data is the supporting technology of the wireless distributed sensing sy...

AI Technical Summary

Problems solved by technology

But the problem is that the data transmission efficiency is not high, and the ability to resist interference factors such as link interruption or node failure is poor.

However, this strategy still has two major defects: first, it does not use the intrinsic correlation of the sensing data, and cannot realize distributed compression on the sensing data, resulting in insufficient mining of transmission effectiveness; All-or-Nothing problem

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