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A method for avoiding conflicts between wifi and zigbee nodes in wireless body area network

A wireless body area network and conflict avoidance technology, applied in the field of communication networks, can solve problems such as increasing cost and energy consumption, and achieve the effect of saving energy consumption and monitoring data in real time

Active Publication Date: 2020-03-31
NORTHEASTERN UNIV LIAONING
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

These requirements greatly increase the cost and energy consumption, which can be achieved in practical applications.

Method used

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  • A method for avoiding conflicts between wifi and zigbee nodes in wireless body area network
  • A method for avoiding conflicts between wifi and zigbee nodes in wireless body area network
  • A method for avoiding conflicts between wifi and zigbee nodes in wireless body area network

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Embodiment Construction

[0031] The present invention will be described in detail below in conjunction with the accompanying drawings.

[0032] like figure 1 As shown, the present invention provides a method for avoiding conflicts between WiFi and ZigBee nodes in a wireless body area network, comprising the following steps:

[0033] 1) Model the transmission channel state of ZigBee and WiFi through invisible Markov model;

[0034] Specifically, according to the hidden Markov model, the listable state space is modeled on the discretized time parameter space. When performing channel conflict analysis, the channel conflict sequence is first divided into many different types of channel conflicts (there may be overlaps), and feature extraction is performed on each conflicting or non-conflicting signal, thus obtaining a one-dimensional feature vector sequence o =o 1 o 2 o 3 ...o T . It is considered that each eigenvector is a random vector satisfying a certain probability distribution, and this rando...

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Abstract

The invention discloses a method of avoiding conflicts between WiFi and a ZigBee node in a wireless body area network. The method comprises steps: modeling is carried out on ZigBee and WiFi transmission channel states through a hidden Markov model; according to a pre-acquired data trace in the network, all parameters in the hidden Markov model are learnt, the ZigBee and WiFi transmission modes are trained and predicted, and the channel conflict possibility distribution in the current state and the next state is acquired; after channel conflicts between the ZigBee and the WiFi are predicted, conflicts of a WiFi data frame are virtualized through an AP, the surrounding WiFi transmission is suppressed, and a ZigBee node with a high priority is ensured for communication. The monitored data of a patient are more real-time, convenience is brought to a hospital and the patient, and high-efficiency and valuable help can be provided.

Description

technical field [0001] The invention relates to the technical field of communication networks, in particular to a method for avoiding conflicts between WiFi and ZigBee nodes in a wireless body area network. Background technique [0002] Wireless Body Area Network (WBAN) is a dedicated wireless communication system for biosensor nodes or implant nodes around the human body. It communicates physiological data such as ECG, EEG, blood pressure, etc. The recorded physiological signals are sent to the coordinator via wireless technology, and then sent to the medical monitoring center. The most widely used wireless technology is ZigBee due to the need for sensor nodes with low speed and long battery life in WBAN. However, ZigBee networks are facing serious interference problems with WiFi networks. This is because they all work on the unlicensed ISM 2.4GHz frequency band, which is the only public frequency band in the world. Many systems work on this frequency band, which leads to...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04W24/06H04W24/02
CPCH04W24/02H04W24/06
Inventor 姚兰赵志滨唐梦姣高福祥
Owner NORTHEASTERN UNIV LIAONING
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