Software Defined Networking: Transforming Emergency Operations. The project aims to improve the effectiveness and efficiency of Australia's emergency operations, for example, bushfire and rescue missions, by providing robust and integrated communications systems for police and the emergency services. Emergency communications systems are currently fragmented by the different technologies, creating disconnected islands of information. The project aims to provide techniques that allow multiple wire ....Software Defined Networking: Transforming Emergency Operations. The project aims to improve the effectiveness and efficiency of Australia's emergency operations, for example, bushfire and rescue missions, by providing robust and integrated communications systems for police and the emergency services. Emergency communications systems are currently fragmented by the different technologies, creating disconnected islands of information. The project aims to provide techniques that allow multiple wireless technologies to communicate seamlessly using modern software-defined networking solutions.Read moreRead less
Real-time internet of thing algorithms with performance guarantees. This project aims to provide efficient, distributed resource allocation algorithms that can perform satisfactorily within time limits imposed by real-time systems. Real-time Internet of Things (IoT) devices will play a significant role in future transport technologies, such as autonomous vehicles and smart traffic management, and will place significant demands upon distributed computing systems to provide timely information upda ....Real-time internet of thing algorithms with performance guarantees. This project aims to provide efficient, distributed resource allocation algorithms that can perform satisfactorily within time limits imposed by real-time systems. Real-time Internet of Things (IoT) devices will play a significant role in future transport technologies, such as autonomous vehicles and smart traffic management, and will place significant demands upon distributed computing systems to provide timely information updates. The computing challenge is to provide reliable, accurate and timely information to IoT devices. The outcomes of this project will directly be beneficial to a variety of IoT applications in transportation, autonomous vehicles, and smart cities. The valuable engineering insights and novel algorithms will support industry, government, and practitioners for future real-time IoT design and deployments.Read moreRead less
Large-scale highly dynamic wireless networks: architecture and communication strategies design. This project will develop novel techniques for the modelling, design and management of highly dynamic networks, with wireless vehicular networks for autonomous vehicles being a typical but not sole example. Social and economical benefits are expected in the areas of road traffic management and road safety, communication and environment protection.
RAINBOW - RAdIo Networks Based On machine learning for situation aWareness. This project aims to develop software-defined and cognitive radio networks (SDR) to detect adversarial communications and achieve situation awareness on radio frequency (RF) spectrum. The project will generate novel SDR architectures and new attack-resistant detection algorithms through innovative approaches combining machine learning and game theory. Expected outcomes include a strategic alliance between the University ....RAINBOW - RAdIo Networks Based On machine learning for situation aWareness. This project aims to develop software-defined and cognitive radio networks (SDR) to detect adversarial communications and achieve situation awareness on radio frequency (RF) spectrum. The project will generate novel SDR architectures and new attack-resistant detection algorithms through innovative approaches combining machine learning and game theory. Expected outcomes include a strategic alliance between the University of Melbourne and the Northrop Grumman Corporation. Among significant benefits, the project will improve cybersecurity of RF spectrum as a national asset, help protect critical infrastructure relying on wireless networks such as telecommunications and defence, and build skills in cybersecurity and Artificial Intelligence.Read moreRead less
Tools and models for measuring and predicting growth in internet addressing and routing complexity. We analyse patterns in the allocation and actual use of Internet Protocol version 4 (IPv4) addresses to predict the technical and market pressures for deployment of IPv6. The utilisation models will help evaluate the potential for emerging markets in scarce IPv4 address prefixes to increase costs to the end-users of Australia's future national broadband network.