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

被引:3
|
作者
Escribano, Javier G. [1 ]
Garcia, Andres [1 ]
机构
[1] Univ Castilla La Mancha, Sch Ind Engn, Autolog Grp, E-13071 Ciudad Real, Spain
关键词
Active RFID; Wireless sensor networks (WSNs); ZigBee; Human monitoring; Time division double beacon scheduling (TDDBS);
D O I
10.1631/jzus.C1100318
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:674 / 688
页数:15
相关论文
共 50 条
  • [21] Energy-Efficient Clustering in Wireless Sensor Networks
    Chuang, Po-Jen
    Yang, Sheng-Hsiung
    Lin, Chih-Shin
    ALGORITHMS AND ARCHITECTURES FOR PARALLEL PROCESSING, PROCEEDINGS, 2009, 5574 : 112 - 120
  • [22] Energy-Efficient Routing in Wireless Sensor Networks
    Pasztor, Daniel
    Ekler, Peter
    Levendovszky, Janos
    ACTA CYBERNETICA, 2021, 25 (02): : 421 - 434
  • [23] Energy-efficient DSPs for wireless sensor networks
    Wang, A
    Chandrakasan, A
    IEEE SIGNAL PROCESSING MAGAZINE, 2002, 19 (04) : 68 - 78
  • [24] Energy-Efficient Adaptive Dynamic Sensor Scheduling for Target Monitoring in Wireless Sensor Networks
    Zhang, Jian
    Wu, Cheng-dong
    Zhang, Yun-zhou
    Ji, Peng
    ETRI JOURNAL, 2011, 33 (06) : 857 - 863
  • [25] Energy-efficient forwarding in wireless sensor networks
    Busse, Marcel
    Haenselmann, Thomas
    Effelsberg, Wolfgang
    PERVASIVE AND MOBILE COMPUTING, 2008, 4 (01) : 3 - 32
  • [26] Energy-Efficient Monitoring in Software Defined Wireless Sensor Networks Using Reinforcement Learning: A Prototype
    Huang, Ru
    Chu, Xiaoli
    Zhang, Jie
    Hu, Yu Hen
    INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2015,
  • [28] DEMOCO: Energy-Efficient Detection and Monitoring for Continuous Objects in Wireless Sensor Networks
    Kim, Jung-Hwan
    Kim, Kee-Bum
    Chauhdary, Sajjad Hussain
    Yang, Wencheng
    Park, Myong-Soon
    IEICE TRANSACTIONS ON COMMUNICATIONS, 2008, E91B (11) : 3648 - 3656
  • [29] Using Energy-Efficient Wireless Sensor Network for Cold Chain Monitoring
    Kacimi, Rahim
    Dhaou, Riadh
    Beylot, Andre-Luc
    2009 6TH IEEE CONSUMER COMMUNICATIONS AND NETWORKING CONFERENCE, VOLS 1 AND 2, 2009, : 274 - 278
  • [30] Energy-efficient area monitoring for sensor networks
    Carle, J
    Simplot-Ryl, D
    COMPUTER, 2004, 37 (02) : 40 - +