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Energy neutrality, information gain, and the case for embedded analytics in wireless sensor networks

Prof Brano Kusy (CSIRO) ( CSIRO )

Abstract:
In CSIRO, we're working with remotely-deployed wireless sensing systems that are expected to last months or years with limited user access. This scenario presents a unique set of challenges, including 1) limited and varying energy budget due to our reliance on environmentally harvested energy, 2) varying (informational) value of the collected data, for example due to seasonal effects, 3) intermittent and limited communication bandwidth of remote low-power systems. In this talk, I will present specific applications in agricultural, marine, and wildlife monitoring domains and talk about strategies that we identified and implemented to maximize information gain in these systems. One of the key concepts is energy neutrality where the system needs to balance energy outputs based on the recently harvested energy. We also utilize predictive analytics over both energy inputs and energy outputs and have developed the concept of information value of the data to drive the underlying sensor sampling strategy. I will conclude the talk by presenting the case for embedded analytics, through both the current challenges and the emerging areas of interest, such as long range wireless communications and physiological sensing modalities.
Speaker's Bio:
Brano Kusy received the B.S. (2000) and M.S. (2002) degrees from Comenius University in Bratislava, Slovakia, and the Ph.D. from the Vanderbilt University, Nashville, USA (2007), all in Computer Science. He was a postdoctoral scholar at Stanford University, California, between 2007 and 2009.  Since 2009, he has been at CSIRO in Brisbane, Australia, where he works as a research scientist. He is also an adjunct associate professor with the University of Queensland, Australia. At CSIRO, he leads the Pervasive Computing research team, which explores embedded distributed sensing, wireless communications, and analytics to create innovative sensing and monitoring solutions in partnerships with industrial and government partners. He also manages a project portfolio within CSIRO's future science initiative that spans sensing platforms, optical systems, advanced materials, and environmental modelling to develop novel monitoring and remediation technologies for coral reef ecosystems. Brano's research interests include location, communication, and sensing algorithms for wireless sensor networks and technical expertise includes remote deployments, energy efficiency, multi-radio communications, multi-modal localisation, embedded multimedia, and wearable technologies.

 

 

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