Goals

This project aims to explore new techniques for the design of efficient algorithms on energy-starved IoT cloud computing networks, and a new cloud network paradigm such as a consolidation of Low-Power Wide-Area Network (LPWAN) such as using Long Range Radio (LoRa) technology with edge cloud computing to support QoS both energy-starved IoT and general IoT data communications. LoRa is a low energy consumption, low bit rate, cost-effective, and license-free IoT, which has a significant long-range. LoRa can be combined with software-defined networking to create unified, adaptable, rapid-deployable networks. Therefore, these project solutions can apply to many high-impact situations where there is loss of telecommunication, for example natural disasters such as hurricanes and war zones where conventional telecommunication infrastructure is damaged. In these cases, low-cost, long-range, rapid deployable wireless communication systems are urgently needed.

Experience Gained

  • Conduct high-impact research to solve crucial telecommunication problems.
  • Develop soft, entrepreneurial, and networking skills.
  • Analyze engineering approaches, be able to integrate software, hardware, communication systems, and network infrastructures.
  • Develop proof-of-concept projects related to future telecommunications.

Majors and Interests Needed

  • Computer Science
  • Electrical Engineering
  • Information Technology
  • Software Engineering
  • Data Science
  • Mathematics
  • Physics
  • Engineering Technology
  • Instructional Technology & Innovation
  • Health and Human Services

Team Advisors

Ahyoung Lee, Ph.D.
Assistant Professor of Computer Science
Email: alee146@kennesaw.edu

Sumit Chakravarty, Ph.D.
Associate Professor of Electrical Engineering
Email: schakra2@kennesaw.edu

Hoseon Lee, Ph.D.
Associate Professor of Electrical Engineering
Email: hoseon.lee@kennesaw.edu