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dc.contributor.authorAsaduzzaman, Abu
dc.contributor.authorTelakapalli, Abhignan
dc.contributor.authorSibai, Fadi N.
dc.date.accessioned2021-04-13T01:21:15Z
dc.date.available2021-04-13T01:21:15Z
dc.date.issued2021-03-11
dc.identifier.citationAsaduzzaman, 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/CCNC49032.2021.9369575en_US
dc.identifier.isbn978-1-7281-9794-4
dc.identifier.isbn978-1-7281-9795-1
dc.identifier.issn2331-9860
dc.identifier.issn2331-9852
dc.identifier.urihttps://doi.org/10.1109/CCNC49032.2021.9369575
dc.identifier.urihttps://soar.wichita.edu/handle/10057/19894
dc.descriptionClick on the DOI link to access this conference paper at the publishers website (may not be free).en_US
dc.description.abstractIn 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.en_US
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.relation.ispartofseries2021 IEEE 18th Annual Consumer Communications and Networking Conference;
dc.subjectEnergy consumptionen_US
dc.subjectNavigationen_US
dc.subjectDisaster managementen_US
dc.subjectBatteriesen_US
dc.subjectWireless fidelityen_US
dc.subjectPayloadsen_US
dc.subjectGlobal Positioning Systemen_US
dc.titleSmart disaster management using software-defined unmanned aerial systemsen_US
dc.typeConference paperen_US
dc.rights.holder© 2021 IEEEen_US


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