Scientific Testbeding of LoRaWAN for Smart Campus Applications
Project Description
Unlock the power of IoT with LoRaWAN, a game-changing network protocol designed for long-range wireless communication with minimal power consumption. HKUST currently has an application-oriented LoRaWAN IoT network to aid the development of a sustainable smart campus. This project aims to expand our campus LoRaWAN capabilities by constructing a flexible research-oriented testbed that is crucial for the experimental study, validation, verification, and assessment of innovative research ideas in real-world scenarios. The dual purpose of the testbed is to enhance flexibility for scientific exploration - supporting advanced, innovative designs - while ensuring seamless integration with commercial LoRaWAN systems to validate new research techniques effectively.
Together with you, we will explore exciting applications based on the LoRaWAN testbed for smart sensing, indoor localization, facility management and control, even with possibility to work with UAV/drones for mobile sensing applications.
Together with you, we will explore exciting applications based on the LoRaWAN testbed for smart sensing, indoor localization, facility management and control, even with possibility to work with UAV/drones for mobile sensing applications.
Supervisor
LI, Mo
Quota
3
Course type
UROP1000
UROP1100
Applicant's Roles
Development of Software-Defined Solutions: Design and implement software-defined solutions to enable flexible radio access and network configurations. This will support the exploration of unconventional and non-standard technologies and designs, fostering innovative research in IoT.
Integration with Commercial Systems: Seamlessly integrate with existing commercial LPWAN systems to analyze real-world traffic patterns. This integration will facilitate the agile transition of research findings to practical, commercial applications, enhancing the relevance and impact of research.
Building Open Research Applications: Construct an open LoRaWAN research platform that offers application interfaces for public access. This platform will serve various applications for your to explore including smart sensing, indoor localization, facility management and control, even with possibility to work with UAV/drones for mobile sensing applications.
Integration with Commercial Systems: Seamlessly integrate with existing commercial LPWAN systems to analyze real-world traffic patterns. This integration will facilitate the agile transition of research findings to practical, commercial applications, enhancing the relevance and impact of research.
Building Open Research Applications: Construct an open LoRaWAN research platform that offers application interfaces for public access. This platform will serve various applications for your to explore including smart sensing, indoor localization, facility management and control, even with possibility to work with UAV/drones for mobile sensing applications.
Applicant's Learning Objectives
Gain hands-on experience in cutting-edge IoT technology and network protocols.
Opportunity to contribute to campus research facilities that may lead to significant research process and commercial applications.
Work in a collaborative environment with peers and professionals, enhancing both technical and soft skills.
Prerequisites:
-Proficiency in programming (C/C++, Rust, etc.)
-Basic understanding of network protocols, ideally with some exposure to IoT or LoRaWAN
-Familiar with embedded systems and software-defined radio
-Efficient communication and teamwork abilities required
Opportunity to contribute to campus research facilities that may lead to significant research process and commercial applications.
Work in a collaborative environment with peers and professionals, enhancing both technical and soft skills.
Prerequisites:
-Proficiency in programming (C/C++, Rust, etc.)
-Basic understanding of network protocols, ideally with some exposure to IoT or LoRaWAN
-Familiar with embedded systems and software-defined radio
-Efficient communication and teamwork abilities required
Complexity of the project
Moderate