5G IoT Gateway
Description/Abstract/Artist Statement
This project investigates a new gateway system designed for applications within the field of Internet of Things (IoT). The foundation lies in an embedded computing device with a 5G modem, allowing IoT devices to transfer their information to the cloud. A Raspberry Pi serves as the Gateway along with a Zigbee Local Area Network (LAN) to provide seamless and efficient connectivity. Current fifth generation telecommunication technology will be utilized to alleviate the need of a Wi-Fi connection during data transfer and monitoring. Analysis has shown that 5G increases the productivity of IoT through an increase in data-transfer speeds allowing for real-time data monitoring with an increase of coverage. The preliminary analysis, design approach, real world benefits, implementation, and possible academic applications are detailed.
Faculty Advisor/Mentor
Murat Kuzlu, Otilia Popescu
Faculty Advisor/Mentor Department
Engineering Technology
College Affiliation
College of Engineering & Technology (Batten)
Presentation Type
Poster
Disciplines
Electrical and Electronics | Systems and Communications | VLSI and Circuits, Embedded and Hardware Systems
Session Title
Poster Session
Location
Learning Commons Lobby @ Perry Library
Start Date
3-30-2024 8:30 AM
End Date
3-30-2024 10:00 AM
Upload File
wf_yes
5G IoT Gateway
Learning Commons Lobby @ Perry Library
This project investigates a new gateway system designed for applications within the field of Internet of Things (IoT). The foundation lies in an embedded computing device with a 5G modem, allowing IoT devices to transfer their information to the cloud. A Raspberry Pi serves as the Gateway along with a Zigbee Local Area Network (LAN) to provide seamless and efficient connectivity. Current fifth generation telecommunication technology will be utilized to alleviate the need of a Wi-Fi connection during data transfer and monitoring. Analysis has shown that 5G increases the productivity of IoT through an increase in data-transfer speeds allowing for real-time data monitoring with an increase of coverage. The preliminary analysis, design approach, real world benefits, implementation, and possible academic applications are detailed.