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Unmanned Aerial Vehicles enabled IoT Platform for Disaster Management

Author

Listed:
  • Waleed Ejaz

    (Department of Applied Science & Engineering, Thompson Rivers University, Kamloops, BC V2C 0C8, Canada)

  • Muhammad Awais Azam

    (Faculty of Telecom and Information Engineering, University of Engineering and Technology, Taxila, Punjab 47050, Pakistan)

  • Salman Saadat

    (Systems Engineering Department, Military Technological College, Muscat 111, Oman)

  • Farkhund Iqbal

    (College of Technological Innovation, Zayed University, Abu Dhabi 144534, UAE)

  • Abdul Hanan

    (KUST (SE) Department, University of Management and Technology, Sialkot Campus, Sialkot, Punjab 51310, Pakistan)

Abstract

Efficient and reliable systems are required to detect and monitor disasters such as wildfires as well as to notify the people in the disaster-affected areas. Internet of Things (IoT) is the key paradigm that can address the multitude problems related to disaster management. In addition, an unmanned aerial vehicles (UAVs)-enabled IoT platform connected via cellular network can further enhance the robustness of the disaster management system. The UAV-enabled IoT platform is based on three main research areas: (i) ground IoT network; (ii) communication technologies for ground and aerial connectivity; and (iii) data analytics. In this paper, we provide a holistic view of a UAVs-enabled IoT platform which can provide ubiquitous connectivity to both aerial and ground users in challenging environments such as wildfire management. We then highlight key challenges for the design of an efficient and reliable IoT platform. We detail a case study targeting the design of an efficient ground IoT network that can detect and monitor fire and send notifications to people using named data networking (NDN) architecture. The use of NDN architecture in a sensor network for IoT integrates pull-based communication to enable reliable and efficient message dissemination in the network and to notify the users as soon as possible in case of disastrous situations. The results of the case study show the enormous impact on the performance of IoT platform for wildfire management. Lastly, we draw the conclusion and outline future research directions in this field.

Suggested Citation

  • Waleed Ejaz & Muhammad Awais Azam & Salman Saadat & Farkhund Iqbal & Abdul Hanan, 2019. "Unmanned Aerial Vehicles enabled IoT Platform for Disaster Management," Energies, MDPI, vol. 12(14), pages 1-18, July.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:14:p:2706-:d:248615
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    Citations

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    Cited by:

    1. Josip Marić & Carlos Galera-Zarco & Marco Opazo-Basáez, 2022. "The emergent role of digital technologies in the context of humanitarian supply chains: a systematic literature review," Annals of Operations Research, Springer, vol. 319(1), pages 1003-1044, December.
    2. Jieyin Lyu & Shouqin Zhou & Jingang Liu & Bingchun Jiang, 2023. "Intelligent-Technology-Empowered Active Emergency Command Strategy for Urban Hazardous Chemical Disaster Management," Sustainability, MDPI, vol. 15(19), pages 1-28, September.
    3. Hailong Huang & Andrey V. Savkin & Wei Ni, 2020. "Energy-Efficient 3D Navigation of a Solar-Powered UAV for Secure Communication in the Presence of Eavesdroppers and No-Fly Zones," Energies, MDPI, vol. 13(6), pages 1-12, March.

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