Body area network energy-saving method based on sparse representation and compressed sensing

Abstract

The invention discloses a body area network energy-saving method based on sparse representation and compressed sensing. The method specifically includes: performing normal and abnormal classification and coding on sample data in an existed database and establishing an over-complete dictionary D, performing dimension reduction processing on a test sample y and the dictionary D by employing a sub-Gaussian random matrix, calculating the sparse representation sparsity shown in the description of a compression signal shown in the description by employing a sparse representation-based algorithm, then determining whether the test sample is an effective signal shown in the description, if not, directly filtering the signal and re-starting sampling by a node, if yes, calculating the signal minimum residual error position i through residual error identification, performing marking and checking with the database, directly entering a sleep state by the node if the signal is a normal signal, transmitting the compression signal shown in the description to a central base station for node reconstruction by the node if the signal is an abnormal signal, and finally sending a reconstruction signal y' to a remote medical center for diagnosis and analysis and taking first aid measures. According to the method, the body area network node sleep energy saving and data compression transmission energy saving are realized, and the energy consumption of the body area network is reduced.

Description

technical field [0001] The invention relates to the technical field of body area networks, in particular to a body area network energy-saving method based on sparse recognition and compressed sensing. Background technique [0002] The wireless body area network is centered on the human body and aims to collect various physiological parameters of the human body. It is a wireless communication network composed of sensors distributed on the surface of the human body or implanted inside the human body and personal data collection and processing terminals. my country is a country with a large population. People's requirements for health care are constantly increasing, but medical resources are limited. It is impossible for everyone to have a doctor. With the aging of the population, cardiovascular diseases are increasing, and many diseases occur suddenly and many potential diseases. The disease was not discovered in time, and the best time for treatment was missed. With the rapid...

AI Technical Summary

Problems solved by technology

[0005] The energy of body area network nodes is very limited, and it is not easy to replace them frequently, while the central base station nodes usually have high hardware configuration, and the battery is easy to replace. At present, many scholars study the energy-saving methods of body area network, most of which are unilateral research on sleep scheduling strategy or data of body area network. Compression and energy saving

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