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  Low-power long-range (LoRa) wireless sensor network for smart cities.


   School of Engineering and Built Environment

  Assoc Prof Yong Zhu  Applications accepted all year round  Competition Funded PhD Project (Students Worldwide)

About the Project

Wireless sensor network offers a more cost-effective, accurate and faster Internet of Things (IoTs) solution compared to traditional technologies, which require excessive labour and maintenance costs. This project will develop a wireless sensor network for smart cities utilizing the low-power long-range wide-area network (LoRaWAN) technology.

Unlike wired sensor network, it can significantly reduce energy consumption and lower the development and maintenance costs. The raw real-time data will be processed locally at the sensor node and the meaningful data will be transferred wirelessly to the gateway more than 3 km away. The long distance can dramatically reduce the quantity needed for the sensor nodes, thereby covering much larger areas to be monitored. The gateway can then send the data to the Cloud for analysis and forecasting to build an early warning system based on artificial intelligence.

The possible applications include water and air quality monitoring, as well as structural health monitoring for building, bridge, power pole, wind turbine, etc.

Funding Notes

Griffith University funds both domestic and international PhD candidates on a competitive basis and is one of few institutions to offer both a tuition fee waiver and a living stipend.

To be eligible and competitive for a Griffith University Postgraduate Research Scholarship (domesticView Website) or a Griffith University International Postgraduate Research Scholarship (international applicants; View Website) you need to have First Class Honours or equivalent research experience.

First-author peer-reviewed publications in international journals are advantageous.

Top-ranked candidates will be selected from among applicants to proceed to a formal PhD and scholarship application through Griffith University, with the support of the prospective supervisory team.

Applications can be received and processed year-round for our four intakes. Click here for key dates.

Computer Science (8) Engineering (12)
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