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    Smart disaster management using software-defined unmanned aerial systems

    Date
    2021-03-11
    Author
    Asaduzzaman, Abu
    Telakapalli, Abhignan
    Sibai, Fadi N.
    Metadata
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    Citation
    Asaduzzaman, A., Telakapalli, A., & Sibai, F. N. (2021). Smart disaster management using software-defined unmanned aerial systems. Paper presented at the 2021 IEEE 18th Annual Consumer Communications and Networking Conference, CCNC 2021, doi:10.1109/CCNC49032.2021.9369575
    Abstract
    In this work, we introduce a software-defined unmanned aerial systems (UAS) model, which can provide access to sensitive places where Wi-Fi communication is most needed for rescue operations. The proposed UAS model is equipped with smart obstacle avoiding assistance and can navigate in a global positioning system (GPS) denied environments to accomplish rescue operations successfully. We conduct indoor simulations of the developed UAS model with mounted light detection and ranging (LIDAR) sensors. Although the experimental results suggest that a larger battery weight and a higher energy consumption are needed than theoretically estimated, the proposed UAS model shows promise to be used in smart disaster management.
    Description
    Click on the DOI link to access this conference paper at the publishers website (may not be free).
    URI
    https://doi.org/10.1109/CCNC49032.2021.9369575
    https://soar.wichita.edu/handle/10057/19894
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