ZigID: Improving visibility in industrial environments by combining WSN and RFID

Journal of Zhejiang University - Science A: Applied Physics & Engineering (Impact Factor: 0.53). 01/2011; 12(11):849-859. DOI: 10.1631/jzus.A1100024

ABSTRACT The objective of this work is to provide decision-making processes with an updated/real picture of the mobile resources in
industrial environments through a constant feedback of information. The combination of identification technologies and wireless
sensor networks (WSN) is proposed as a key development to guarantee an accurate and timely supply of online information regarding
the localization and tracking of the mobile wireless devices. This approach uses a cooperative and distributed localization
system, called ZigID, which is a WSN based on a Zigbee network with radio frequency identification (RFID) active tags as end
nodes. The WSN can recover not only the ID information stored at the tags attached to mobile resources, but also any other
useful data captured by specific sensors for acceleration, temperature, humidity and fuel status. This paper also shows the
development of ZigID, including devices and information flows, as well as its implementation in ground handling operations
at the Ciudad Real Central Airport, Spain.

Key wordsRadio frequency identification (RFID)–Tracking–Wireless sensor networks (WSNs)

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    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.
    Journal of Zhejiang University: Science C 13(9). · 0.30 Impact Factor

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