Human condition monitoring in hazardous locations using pervasive RFID sensor tags and energy-efficient wireless networks

Javier G.ESCRIBANO; Andrs GARCA

doi:10.1631/jzus.C1100318

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Human condition monitoring in hazardous locations using pervasive RFID sensor tags and energy-efficient wireless networks

Computer & Automation | Updated：2022-12-09

- Human condition monitoring in hazardous locations using pervasive RFID sensor tags and energy-efficient wireless networks
- Human condition monitoring in hazardous locations using pervasive RFID sensor tags and energy-efficient wireless networks
- Frontiers of Information Technology & Electronic Engineering Vol. 13, Issue 9, Pages: 674-688(2012)
- Affiliations：
  
  Autolog Group, Industrial Engineering School, University of Castilla-La Mancha, Avda. Camilo Jos Cela, s/n, 13071 Ciudad Real, Spain
- Author bio：
  
  Andrs GARCA, E-mail: Andres.garcia@uclm.es
- Funds：
- DOI：10.1631/jzus.C1100318
  CLC： TP393
- Received：02 November 2011，
  
  Revised：2012-;8-;3，
  
  Published：2012-09
- Accepted：
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Javier G.ESCRIBANO, Andrs GARCA. Human condition monitoring in hazardous locations using pervasive RFID sensor tags and energy-efficient wireless networks[J]. Frontiers of Information Technology & Electronic Engineering, 2012, 13(9): 674-688.
DOI：

Javier G.ESCRIBANO, Andrs GARCA. Human condition monitoring in hazardous locations using pervasive RFID sensor tags and energy-efficient wireless networks[J]. Frontiers of Information Technology & Electronic Engineering, 2012, 13(9): 674-688. DOI： 10.1631/jzus.C1100318.

摘要

Abstract

Tracking persons in dangerous situations as well as monitoring their physical condition

is often crucial for their safety. The systems commonly used for this purpose do not include individual monitoring or are too expensive and intrusive to be deployed in common situations. In this project

a mobile system based on energy-efficient wireless sensor networks (WSNs) and active radio frequency identification (RFID) has been developed to achieve ubiquitous positioning and monitoring of people in hazardous situations. The system designed can identify each individual

locate him/her

send data regarding their physical situation

and ascertain whether they are located in a confined space. A new algorithm called time division double beacon scheduling (TDDBS) has been implemented to increase operation time and data transmission rate of the nodes in the system. The results show that the use of this system allows us to find the location and state of a person

as well as to provide an analysis of the potential risks at each moment

in real time and in an energy-efficient way. In an emergency

the system also allows for quicker intervention

as it not only provides the location and causes of the event

but also informs about the physical condition of the individual at that moment.

关键词

Keywords

references

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