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DR5: Learning MQTT for Drone Management
DR5: Learning MQTT for Drone Management
Student: Rafael Labuto
Research mentor: Shahbaz Ali Khan
MQTT is a subscribe-publish mechanism that allows many subscribers and publishers to work together, it is designed for connections with remote locations that have devices with resource constraints or limited network bandwidth, such as in the Internet of Things. MQTT holds a very interesting role in the transmission of data between drones and other devices. MQTT’s lightweight protocol provides low latency (minimal delay in data transmission) while MQTT QoS (Quality of Service) provides offline messaging (QoS 2) and guaranteed delivery (QoS 1).
We applied MQTT to simulate a drone authorization manager. With the increasing deployment of drones, the FAA is interested in the development of a Unmanned Aircraft System Traffic Management (UTM); the project explores the idea of drones' communication with an automated authorization manager, utilizing the MQTT protocol.
Shahbaz Ali Khan is a Master's student in Computer Science and Engineering at the University of Notre Dame, with a specialization in AI, Machine Learning, and Cloud Computing. Before that, he obtained his B.S. degree from the Siddaganga Institute of Technology majoring in Computer and Electronics. Additionally, he has hands-on experience as Senior Data Engineering Analyst at Accenture. His expertise lies in designing and implementing scalable data pipelines, optimizing database queries, and automating data ingestion, resulting in significant improvements in system performance and efficiency.
Dr Jane Cleland-Huang is the lead researcher on the Drone Response project — a system for managing and monitoring the flights of semi-autonomous small Unmanned Aerial Systems (sUAS). As part of this project, she is involved in Smart and Connected Communities (SCC) research and is working closely with the South Bend Fire Department to co-design a system in which sUAS serve as full-mission partners for emergency response scenarios.
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