Unreliable wireless link information transmission method based on signal sparsity feature

Abstract

The invention discloses an unreliable wireless link information transmission method based on a signal sparsity feature. The unreliable wireless link information transmission method comprises the following steps that after an original signal is normally sampled by a sensor node, N original data are transmitted through a lossy wireless link; a measurement matrix is constructed according to received missing data; based on the compressed sensing principle, an appropriate sparse base is selected and used for conducting sparsification expression on the original signal; the original signal is reconstructed at the signal reconstruction end in the mode that a norm L1 convex optimization problem is solved; signal reconstruction conditions are fed back to a sending node at the signal reconstruction end, and the sending mode can correspondingly adjust communication parameters so as to guarantee reconstruction accuracy. According to the unreliable wireless link information transmission method based on the signal sparsity feature, the measurement matrix is reasonably designed, the original signal can be restored and reconstructed only through a small number of missing data, the reconstruction accuracy is improved greatly compared with a traditional interpolation method, and the defect that enormous energy consumption and time delay are caused by a traditional data loss-retransmission mechanism in an unreliable link is well overcome.

Description

technical field [0001] The invention belongs to the field of the Internet of things (The Internet of things), and in particular relates to an unreliable wireless link information transmission method based on signal sparse characteristics. Background technique [0002] The Internet of Things is an intelligent network information system that takes the data collection and information processing of the physical world as the main task, uses the network as the information transmission carrier, realizes the information interaction between things and things, and between things and people, and provides information services. Its purpose is to connect all items to the network, so that the system can automatically and real-time identify, locate, track, monitor and trigger corresponding events. [0003] IoT sensors are "sensory organs" that perceive the material world. They can perceive signals such as heat, force, light, electricity, sound, and displacement, and provide the most origina...

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Problems solved by technology

[0006] However, the above two methods deal with link asymmetry by increasing energy consumption, which is impractical for energy-constrained wireless sensor network nodes.

In addition, the above two methods will also lead to an increase in information acquisition delay

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