Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Wireless body area network data transmission method based on reinforced learning algorithm

A data transmission method and wireless body area network technology, applied in wireless communication, wireless communication services, machine-to-machine/machine-type communication services, etc. Node heterogeneity and other issues to achieve the effect of ensuring accuracy and preventing diseases

Active Publication Date: 2017-05-17
DONGHUA UNIV
View PDF3 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

After all, the scale of the wireless body area network is not large. If the multi-hop transmission method is simply adopted, it will inevitably bring about unnecessary data forwarding, which will cause delays and more energy consumption.
(2) The heterogeneity of nodes is not considered in the existing data transmission scheme

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Wireless body area network data transmission method based on reinforced learning algorithm
  • Wireless body area network data transmission method based on reinforced learning algorithm
  • Wireless body area network data transmission method based on reinforced learning algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0027] Below in conjunction with specific embodiment, further illustrate the present invention. It should be understood that these examples are only used to illustrate the present invention and are not intended to limit the scope of the present invention. In addition, it should be understood that after reading the teachings of the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent forms also fall within the scope defined by the appended claims of the present application.

[0028] The present invention relates to two types of nodes, one is a sensor node and the other is an aggregation node. Deploy sensor nodes on the ankles, legs, wrists, and arms of the human body to collect and transmit data on signs such as blood pressure, blood sugar, and pulse to the aggregation node. In the present invention, the mobile phone is used as the convergence node, and the convergence node finally sends the data t...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to a wireless body area network data transmission method based on a reinforced learning algorithm. The method aims at characteristics of a wireless body area network and is a hybrid data transmission method. The wireless body area network data transmission method comprises the steps of dividing nodes to different grades according to heterogeneous characteristics of different node energy levels, different data services and different workloads; calculating channel states of nodes and a convergent node according to a Markov channel model, determining whether a relay node is required in data transmission; if channel state is good, directly transmitting node data to a convergent node, and otherwise, searching an optimal path between the nodes and the convergent node by means of the reinforced learning algorithm based on node grade dividing, and continuously optimizing path selection in a data transmission process. The wireless body area network data transmission method can ensure efficient and reliable physiological data related in the wireless body area network. The wireless body area network data transmission method can be applied in multiple fields for ensuring accuracy of data received by a monitoring center.

Description

technical field [0001] The invention relates to a method for solving the data transmission problem of a wireless body area network by using an enhanced learning algorithm, which is used in the field of medical care for monitoring by using a wireless body area network, and provides a method for ensuring the accuracy of data received by a monitoring center. Background technique [0002] According to the results of the sixth population census of the National Bureau of Statistics, the population aged 60 and above accounted for 13.26%, an increase of 2.93% compared with the fifth population census. Among the elderly aged 60 and above, 44% are healthy, 39% are basically healthy, 14% are unhealthy but able to take care of themselves, and 3% are unable to take care of themselves. It can be seen that 56% of the elderly need to be concerned about their physical condition at all times. Even for the 44% of the elderly who are currently healthy, pathological changes may occur in their b...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): H04W4/00
CPCH04W4/70
Inventor 郭文静燕彩蓉甘杨兰
Owner DONGHUA UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com