Discovery Early Career Researcher Award - Grant ID: DE210100651
Funder
Australian Research Council
Funding Amount
$414,000.00
Summary
Intelligent Backscatter Communications for Green and Secure IoT Networks . This project aims to develop novel technologies empowered by intelligent radio wave backscatter to address the significant problem of connecting a very large number of wireless devices with low energy consumption and limited communication channels for future Internet-of-Things (IoT) networks. This project expects to advance knowledge in the area of green communications by utilising ambient backscatter, a breakthrough wire ....Intelligent Backscatter Communications for Green and Secure IoT Networks . This project aims to develop novel technologies empowered by intelligent radio wave backscatter to address the significant problem of connecting a very large number of wireless devices with low energy consumption and limited communication channels for future Internet-of-Things (IoT) networks. This project expects to advance knowledge in the area of green communications by utilising ambient backscatter, a breakthrough wireless communications technology. This will significantly reduce energy costs, enhance spectrum usage efficiency, and improve communication security thus greatly benefiting Australian industry, society and economy. Expected outcomes of the project include key technologies that promote the development of future IoT networks.Read moreRead less
Optimum cross-layer design in wireless communication systems with channel uncertainty. For wireless communications to be part of Australia's information delivery infrastructure, including the National Broadband Network, requires improvements in reliability, speed and cost effectiveness over current technologies. The assembled world class research team has the objective to develop advanced design techniques to meet this challenge.
Discovery Early Career Researcher Award - Grant ID: DE200100863
Funder
Australian Research Council
Funding Amount
$405,398.00
Summary
Privacy Coupling: When Your Personal Devices Betray You. This project aims to propose novel privacy preserving schemes that can protect the privacy of individuals in the era of Internet of things and machine learning. In the recent years, most Australian organizations have been a target of privacy and cybersecurity attacks, affecting their data and network systems. The expected outcomes of this project are privacy preserving schemes that can prevent attackers from compromising the private inform ....Privacy Coupling: When Your Personal Devices Betray You. This project aims to propose novel privacy preserving schemes that can protect the privacy of individuals in the era of Internet of things and machine learning. In the recent years, most Australian organizations have been a target of privacy and cybersecurity attacks, affecting their data and network systems. The expected outcomes of this project are privacy preserving schemes that can prevent attackers from compromising the private information of individuals in IoT and machine learning services, and thus significantly improve the protection against cybersecurity attacks. Significant benefits in social wellbeing and security are expected for all industry, government, and service sectors that collect data about people.Read moreRead less
Control of networked multi-agent systems. Networked multi-agent systems find wide applications in smart electricity grids, transportation networks, networked security systems, environmental monitoring networks and hospital resource schedulers. This project aims to develop advanced theories and techniques to model and control these systems for high performance and resource efficiency.