The following postgraduate scholarship opportunities to engage with industrial clients in postgraduate research are available.
Integrating low power – Wide Area Wireless Networking Technology into biosecurity surveillance networks
The goal of the project is to help evaluate whether the increase in information obtained by deploying multiple sensors in a LP-WAN environment results in consistently easy-to-understand information that will inform and not confuse end-users. Results of this study will be discussed with end-users and is expected to be of publishable quality.
The project will involve development of the recently proposed chaos-based and chaotic communication systems in real time using existing development technologies. The ultimate goal of the project is to implement a chaos-based / chaotic transceiver which would be able to communicate wirelessly with its equivalent.
This stage will continue the development of a UAV platform that can autonomously record the forest “cutover” geographic edge.
This project aims to answer the question of whether the IEEE 802.11p standard is suitable for an indoor environment, particularly in an industrial warehouse, for safety-critical communication. This involves creating a simulation model for 802.11p performance in a warehouse environment and carrying out analysis of the performance of the system with various parameters. The focus will be placed on evaluation of the scalability and limitation of such a system and fine tuning of design parameters.
As intelligent vehicles are more common in industrial settings, there is a need to improve communication in such environment. The IEEE 802.11p standard provides a framework for both vehicle-to-vehicle and vehicle-to-infrastructure communication. However certain applications would require extra reliability requirements and the vehicle density cannot guarantee a fully connected network with all vehicles at all time. The goal of this project is to investigate one or more novel routing algorithms that could enhance connectivity between smart industrial vehicles and overcome known limitations in such an environment.
To develop a guidance system for a UAV to keep a safe distance from the structure whilst collecting inspection image data. The ability to perform these tasks in adverse weather will enable more frequent and lower cost inspections.
The current methods to measure sea ice are satellite remote sensing or helicopter-borne Electro-Magnetic (EM) field instruments flown at a low level. Space-based measurements have insufficient accuracy to measure freeboard heights, and helicopter operations are limited by weather and low flying height safety concerns. This project will investigate methods to design and build an EM instrument suitable for integration into an Unmanned Aerial System (UAS) capable of being flown on long-range missions in the Arctic and Antarctic. Ideally, the same platform will be capable of carrying an instrument to simultaneously measure snow depth.