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

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.

[1]  Ye-Qiong Song,et al.  Performance Analysis and improvement of ZigBee routing protocol , 2007 .

[2]  J. Stankovic,et al.  An Advanced Wireless Sensor Network for Health Monitoring , 2022 .

[3]  Yu-Wei Su,et al.  A Comparative Study of Wireless Protocols: Bluetooth, UWB, ZigBee, and Wi-Fi , 2007, IECON 2007 - 33rd Annual Conference of the IEEE Industrial Electronics Society.

[4]  D. Alan Veasey,et al.  Confined Space Entry and Emergency Response , 2002 .

[5]  Andrea Vitaletti,et al.  Wireless Sensor Networks for Environmental Noise Monitoring , 2007 .

[6]  Guillermo A. Francia A Wireless Sensor Network , 2003, International Conference on Wireless Networks.

[7]  Alejandro Palomo-Ĺopez On the optimal configuration of CSMA-MS algorithm , 2010 .

[8]  Maninder Kaur,et al.  An Advanced Wireless Sensor Network for HealthMonitoring , 2013 .

[9]  Eduardo Tovar,et al.  TDBS: a time division beacon scheduling mechanism for ZigBee cluster-tree wireless sensor networks , 2008, Real-Time Systems.

[10]  Andrés García Higuera,et al.  RFID System for Airport Control on a MAS-DUO Agents Platform , 2008 .

[11]  Wendi B. Heinzelman,et al.  Wireless Sensor Network Protocols , 2005, Handbook of Algorithms for Wireless Networking and Mobile Computing.

[12]  V. C. Padaki,et al.  Wireless Sensor Network for Wearable Physiological Monitoring , 2008, J. Networks.

[13]  Daeyoung Kim,et al.  Integrating Wireless Sensors and RFID Tags into Energy-Efficient and Dynamic Context Networks , 2009, Comput. J..

[14]  M. W. Raad A ubiquitous mobile telemedicine system for the elderly using RFID , 2010, Int. J. Secur. Networks.

[15]  N. Roskams,et al.  [European agency for safety and health at work]. , 2012, Archivos de prevencion de riesgos laborales.

[16]  Davide Brunelli,et al.  Wireless Sensor Networks , 2012, Lecture Notes in Computer Science.

[17]  Wolf-Joachim Fischer,et al.  System design by simulation - A case study for sensor tags embedded in tyres , 2010, Int. J. RF Technol. Res. Appl..

[18]  Uwe Wissendheit,et al.  Analysis of the applicability of RFID & wireless sensors to manufacturing and distribution lines trough a testing multi-platform , 2010, 2010 IEEE International Conference on Industrial Technology.

[19]  Antonio Abarca,et al.  Intelligent sensor for tracking and monitoring of blood temperature and hemoderivatives used for transfusions , 2009 .

[20]  Hai Liu,et al.  Taxonomy and Challenges of the Integration of RFID and Wireless Sensor Networks , 2008, IEEE Network.

[21]  M. de la Fuente Ruz,et al.  Developments in Sensorised Smart RFID Tags Monitoring and Traceability of Sensitive Products , 2007 .

[22]  Santiago Celma,et al.  Development of a Wireless Sensor Network System for Early Forest Fire Detection , 2010 .

[23]  Andrés García,et al.  ZigID: Improving visibility in industrial environments by combining WSN and RFID , 2011 .