
FOLLOWUS
Autolog Group, Industrial Engineering School, University of Castilla-La Mancha, Avda. Camilo Jos Cela, s/n, 13071 Ciudad Real, Spain
Andrs GARCA, E-mail: Andres.garcia@uclm.es
收稿:2011-11-02,
修回:2012-;8-;3,
纸质出版:2012-09
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Human condition monitoring in hazardous locations using pervasive RFID sensor tags and energy-efficient wireless networks[J]. 信息与电子工程前沿(英文), 2012,13(9):674-688.
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.
Human condition monitoring in hazardous locations using pervasive RFID sensor tags and energy-efficient wireless networks[J]. 信息与电子工程前沿(英文), 2012,13(9):674-688. DOI: 10.1631/jzus.C1100318.
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.
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.
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