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On-line Access: 2024-08-27

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Journal of Zhejiang University SCIENCE C 2012 Vol.13 No.9 P.674-688

http://doi.org/10.1631/jzus.C1100318


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


Author(s):  Javier G.Escribano, Andrés García

Affiliation(s):  Autolog Group, Industrial Engineering School, University of Castilla-La Mancha, Avda. Camilo José Cela, s/n, 13071 Ciudad Real, Spain

Corresponding email(s):   Andres.garcia@uclm.es

Key Words:  Active RFID, Wireless sensor networks (WSNs), ZigBee, Human monitoring, Time division double beacon scheduling (TDDBS)


Javier G.Escribano, Andrés García. Human condition monitoring in hazardous locations using pervasive RFID sensor tags and energy-efficient wireless networks[J]. Journal of Zhejiang University Science C, 2012, 13(9): 674-688.

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%A Andrés García
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T1 - Human condition monitoring in hazardous locations using pervasive RFID sensor tags and energy-efficient wireless networks
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PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.C1100318


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.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

[1]Abarca, A., de la Fuente, M., Abril, J.M., García, A., Pérez-Ocón, F., 2009. Intelligent sensor for tracking and monitoring of blood temperature and hemoderivatives used for transfusions. Sens. Actuat. A Phys., 152(2):241-247.

[2]Bayo, A., Antolín, D., Medrano, N., Calvo, B., Celma, S., 2010. Development of a Wireless Sensor Network System for Early Forest Fire Detection. RFID Systech, p.1-7.

[3]Deicke, F., Grätz, H., Fischer, W.J., 2010. System design by simulation—a case study for sensor tags embedded in tyres. Int. J. RF Technol. Res. Appl., 2(1):37-51.

[4]de la Fuente Ruz, M., Garcia, A., Duro, J., Álvarez, A., G.Escribano, J., 2007. Developments in Sensorised Smart RFID Tags Monitoring and Traceability of Sensitive Products. RFID SysTech, p.1-6.

[5]EPCGlobal, 2003. 13.56 MHz ISM Band Class 1 Radio Frequency (RF) Identification Tag Interface Specification. Available from http://www.epcglobalinc.org

[6]European Agency, 2000. Legislation and Standards of the European Agency for Safety and Health at Work. Bilbao.

[7]Friedman, L., 2008. SimpliciTI: Simple Modular Network Specification. Texas Instruments.

[8]García Ansola, P., García, A., de las Morenas, J., G.Escribano, J., Otamendi, F.J., 2011. ZigID: improving visibility in industrial environments by combining WSN and RFID. J. Zhejiang Univ.-Sci. A (Appl. Phys. & Eng.), 12(11):849-859.

[9]G.Escribano, J., García, P., García, A., de la Fuente, M., Pastor, J., 2008. RFID System for Airport Control on a MAS-DUO Agents Platform. RFID SysTech, p.1-10.

[10]G.Escribano, J., Garcia, A., Wissendh, U., Loeffler, A., Pastor, J., 2009. Analysis of the Applicability of RFID & Wireless Sensors to Manufacturing and Distribution Lines Through a Testing Multi-platform. IEEE Int. Conf. on Industrial Technology, p.1379-1385.

[11]Harrop, P., Das, R., 2009. Wireless Sensor Networks 2009-2019: the New Market for Ubiquitous Sensor Networks (USN). IDTechEx Inc. Available from http://www.idtechex.com

[12]Koubâa, A., Cunha, A., Alves, M., Tovar, E., 2008. TDBS: a time division beacon scheduling mechanism for ZigBee cluster-tree wireless sensor networks. Real-Time Syst., 40(3):321-354.

[13]Lee, J., Su, Y., Shen, C., 2007. A Comparative Study of Wireless Protocols: Bluetooth, UWB, ZigBee, and Wi-Fi. 33rd Annual Conf. of the IEEE Industrial Electronics Society, p.46-51.

[14]Liu, H., Bolic, M., Nayak, A., Stojmenovic, I., 2008. Taxonomy and challenges of the integration of RFID and wireless sensor networks. IEEE Network, 22(6):26-35.

[15]Lopez, T.S., Kim, D., Canepa, G.H., Koumadi, K., 2009. Integrating wireless sensors and RFID tags into energy-efficient and dynamic context networks. Comput. J., 52(2):240-267.

[16]Nefzi, B., Song, Y.Q., 2007. Performance Analysis and Improvement of ZigBee Routing Protocol. 7th IFAC Int. Conf. on Fieldbuses & Networks in Industrial & Embedded Systems, p.1-8.

[17]Palomo-López, A., Vales-Alonso, J., Bueno-Delgado, M., Egea-López, E., Alcaraz, J., 2010. On the Optimal Configuration of CSMA-MS Algorithm. 3rd Int. EURASIP Workshop on RFID Technology, p.112-118.

[18]Pandian, P., Safeer, K., Gupta, P., Shakunthala, D., Sundersheshu, B., Padaki, V., 2008. Wireless sensor network for wearable physiological monitoring. J. Networks, 3(5):21-29.

[19]Perillo, M., Heinzelman, W., 2004. Wireless Sensor Network Protocols. In: Boukerche, A., (Ed.), Algorithms and Protocols for Wireless and Mobile Networks. CRC Hall Publishers, NY, USA.

[20]Raad, M.W., 2010. A ubiquitous mobile telemedicine system for the elderly using RFID. Int. J. Secur. Networks, 5(2/3):156-164.

[21]Santini, S., Vitaletti, A., 2007. Wireless Sensor Networks for Environmental Noise Monitoring. 6th GI/ITG Workshop on Sensor Networks, p.1-4.

[22]Veasey, D., McCormick, L., Hilyer, B., Oldfield, K., Hansen, S., Krayer, T., 2006. Confined Space Entry and Emergency Response. Wiley-Interscience, NY, USA.

[23]Virone, G., Wood, A., Selavo, L., Cao, Q., Fang, L., Doan, T., He, Z., Stankovic, J., 2006. An Advanced Wireless Sensor Network for Health Monitoring. Transdisciplinary Conf. on Distributed Diagnosis and Home Healthcare, p.1-4.

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