Smart disaster management using software-defined unmanned aerial systems
Asaduzzaman, Abu Telakapalli, Abhignan Sibai, Fadi N.
Asaduzzaman, Abu
Telakapalli, Abhignan
Sibai, Fadi N.
Citations
Altmetric:
Other Names
Location
Time Period
Advisors
Original Date
Digitization Date
Issue Date
2021-03-11
Type
Conference paper
Genre
Keywords
Energy consumption,Navigation,Disaster management,Batteries,Wireless fidelity,Payloads,Global Positioning System
Subjects (LCSH)
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.
Table of Contents
Description
Click on the DOI link to access this conference paper at the publishers website (may not be free).
Publisher
IEEE
Journal
Book Title
Series
2021 IEEE 18th Annual Consumer Communications and Networking Conference;
Digital Collection
Finding Aid URL
Use and Reproduction
Archival Collection
PubMed ID
DOI
ISSN
2331-9860
2331-9852
2331-9852