IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i23p13238-d691229.html
   My bibliography  Save this article

Hybrid Architectural Network Implementation to Realize a Fire Evacuation Path with 2.4 GHz Zigbee and LoRa

Author

Listed:
  • Rajesh Singh

    (School of Electronics and Electrical Engineering, Lovely Professional University, Jalandhar 144001, India)

  • Gajanand S. Birajdar

    (School of Electronics and Electrical Engineering, Lovely Professional University, Jalandhar 144001, India)

  • Mamoon Rashid

    (Department of Computer Engineering, Faculty of Science and Technology, Vishwakarma University, Pune 411048, India)

  • Anita Gehlot

    (School of Electronics and Electrical Engineering, Lovely Professional University, Jalandhar 144001, India)

  • Shaik Vaseem Akram

    (School of Electronics and Electrical Engineering, Lovely Professional University, Jalandhar 144001, India)

  • Ahmed Saeed AlGhamdi

    (Department of Computer Engineering, College of Computer and Information Technology, Taif University, P.O. Box 11099, Taif 21994, Saudi Arabia)

  • Sultan S. Alshamrani

    (Department of Information Technology, College of Computer and Information Technology, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia)

Abstract

The Internet of Things (IoT) is playing a significant role in realizing real monitoring. In fire safety and evacuation, early fire event detection using IoT-enabled sensors may help to control and minimize further consequences of the fire accident. In this study, we propose a hybrid architecture based on 2.4 GHz Zigbee and long-range (LoRa) for real-time fire detection, monitoring, and assisting in the safe evacuation of the building. The architecture comprises five different components, namely: end device, evacuation path display controller, safety operation controller, vision node, and gateway. The end device and vision node provide real-time sensory data and visuals that provide details of fire occurrence. The evacuation path display controller and the safety operation controller based on the 2.4 GHz Zigbee receive data from the end device and make the decision accordingly. In addition, a Zigbee simulation is performed on the OPNET simulator to analyze the network parameters such as throughput, retransmission attempts, medium access (MAC) queue size and queue delay, and packet delivery ratio (PDR). The evaluation metrics of link budget and ToA of LoRa are also calculated by varying the code rate and spreading factor. To realize the proposed architecture, customization of hardware is carried out with the development of hardware prototypes. Dijkstra’s shortest path algorithm is implemented in the evacuation path display controller to provide the shortest evacuation path during a fire incident. The hardware of the system is implemented in real-time, and the system provides real-time sensor data along with the evacuation path.

Suggested Citation

  • Rajesh Singh & Gajanand S. Birajdar & Mamoon Rashid & Anita Gehlot & Shaik Vaseem Akram & Ahmed Saeed AlGhamdi & Sultan S. Alshamrani, 2021. "Hybrid Architectural Network Implementation to Realize a Fire Evacuation Path with 2.4 GHz Zigbee and LoRa," Sustainability, MDPI, vol. 13(23), pages 1-28, November.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:23:p:13238-:d:691229
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/23/13238/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/13/23/13238/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Anita Gehlot & Sultan S. Alshamrani & Rajesh Singh & Mamoon Rashid & Shaik Vaseem Akram & Ahmed Saeed AlGhamdi & Fahad R. Albogamy, 2021. "Internet of Things and Long-Range-Based Smart Lampposts for Illuminating Smart Cities," Sustainability, MDPI, vol. 13(11), pages 1-20, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.

      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:gam:jsusta:v:13:y:2021:i:23:p:13238-:d:691229. 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.

      If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

      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.