IDEAS home Printed from https://ideas.repec.org/a/sae/intdis/v14y2018i6p1550147718784482.html
   My bibliography  Save this article

Development of unmanned remote smart rescue platform applying Internet of Things technology

Author

Listed:
  • Jung Woo Kim
  • Sang Hun Sul
  • Jae Boong Choi

Abstract

A new form of network has been created with the communication between objects in the Internet of Things environment. Users began to take interests in outdoor activities such as sports and leisure activities while sharing photographs and videos each other. In order to minimize the damage caused by unexpected accidents in response to outdoor climate change, Internet of Things technology is applied to emergency rescue system for quick and efficient rescue. In this article, the unmanned remote smart rescue platform applying Internet of Things technology quickly responds by real-time monitoring of the occurrence of a distress call. The system was developed so that the emergency situation is transferred to the management center and rescue victims within 4 min. The real-time monitoring system of unmanned remote smart rescue box is developed in such a manner that the equipment can be checked for theft and damage from external sources. Sensor multifunction printed circuit board module is developed under Internet of Things environment to be interconnected to single-board computers and various sensors. Thus, the installation of unmanned remote smart rescue box at the actual site delivers accurate positions of rescuees to promptly dispatch personnel to carry out efficient rescue operations.

Suggested Citation

  • Jung Woo Kim & Sang Hun Sul & Jae Boong Choi, 2018. "Development of unmanned remote smart rescue platform applying Internet of Things technology," International Journal of Distributed Sensor Networks, , vol. 14(6), pages 15501477187, June.
    • Handle: RePEc:sae:intdis:v:14:y:2018:i:6:p:1550147718784482
    DOI: 10.1177/1550147718784482
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/1550147718784482
    Download Restriction: no
    File URL: https://libkey.io/10.1177/1550147718784482?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jung Woo Kim & Sang Hun Sul & Jae Boong Choi, 2020. "Development of real-time Internet of Things motion detection platform applying non-contact sensor based on open source hardware," International Journal of Distributed Sensor Networks, , vol. 16(7), pages 15501477209, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:intdis:v:14:y:2018:i:6:p:1550147718784482. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.