ARC Discovery: Compression of Distributed Data: Bridging the Gap Between Theory and Practice

A collaboration with University of Newcastle and Technical University of Munich

In bushfire and tsunami early warning systems, environmental monitoring and healthcare applications, distributed sensors collect and transmit correlated data.  This project will design novel data compression algorithms that exploit this correlation to dramatically increase the performance of existing networks and enable new applications.

Research Grant

Dr Ingmar Land, Dr Roy Timo, Prof Sarah Johnson (Newcastle) and Prof Gerhard Kramer (TUM)

2012 - 2014