Disaster Communication networks

The disaster communication networks (DCN) team undertakes research in areas that cover a broad range of networking topics, including disaster resilient network protocol design, modelling, and performance evaluation, device-to-device communication, multi-hop ad-hoc networks, disaster response and recovery, UAV-assisted disaster communications, Satellite-based disaster communications, AI/Machine learning for disaster communications, 5G/6G-based disaster communications, cloud/edge/fog technologies for disaster communications.

The researchers in this team are globally recognised as leaders in the field and active in the international research community. We are interested in theoretical modelling and system analysis, advancing the field of practical performance measurements and system prototype development to solve real-world problems in the industry.

Research areas

• Disaster resilient network design, modelling, and simulation
• Post-disaster response/recovery
• Victim localisation, Ad-hoc, device-to-device (D2D) Communications
• UAV/Drone communications, Interference management
• Cognitive radio and IoT

Research networks

The team has active collaborations with researchers from:

• Professor Salahuddin Zabir, National Institute of Technology, Japan
• Prof Haitai Zhao, National University of Defence Technology, China
• Professor Song Guo, Hong Kong Polytechnic University
• Professor Abbas Jamalipour, University of Sydney
• Professor Suzanne Wilkinson, Massey University
• Dr Akbar Hossain, Manukau Institute of Technology, Auckland
• Dr Shamsul Fakhruddin, Tonkin and Taylor, Ltd.

Current projects

• A framework for resilient communication system
• B5G cellular networks for disaster communications
• D2D for disaster communications
• Detecting disaster incidents using emerging technologies
• A safety-critical network framework for intelligent transportation systems
• Optimizing Cognitive IoT for post-disaster communications
• Optimising UAV networks for disaster communications
• Simulation credibility in cognitive IoT and 6G research
• AI/Machine learning algorithms for disaster communications
• Developing tools and resources for disaster communications