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Towards Sustainable Widespread Sensing

Andreas Soleiman ( Uppsala University )
  • 2Dec
    16:00 2nd December 2019 ( week 8, Michaelmas Term 2019 )
    LTB

The past several years has seen a rapid increase in the number of deployed sensor applications. However, the overall architecture of sensing devices has remained unchanged. Existing systems are generally energy-expensive since they employ on-board processing units to perform local computational tasks and use active radio transceivers such as BLE or Wi-Fi for communication which forces these devices to operate by batteries or by external power. This makes it challenging to deploy sensing devices at scale due to infrastructural or environmental constraints and the associated costs of continuously replacing batteries. As an example, state-of-the-art sensing systems which leverage mediums such as indoor light for sensing often require modifications to existing infrastructure, e.g. by retrofitting light bulbs with complex circuitry to perform visible light communication (VLC) and energy expensive amplification circuits, processing units and active radios. All of which, add to the previously mentioned constraints.In this talk, I will present the results of my research work in designing battery-free sensors for sustainable systems, and their applications; in particular battery-free visible light sensing for hand gesture detection.

Speaker bio

Andreas is a researcher at Uppsala University in Sweden. Over the past three years, he has been involved in research in designing sensor and communication systems that can operate without batteries on energy harvested from the ambient environment. One of the key projects that he worked on was developing the world’s first battery-free light-based hand gesture sensing and communication system (ACM VLCS 2017 and ACM MobiCom 2019). This system demonstrated the ability to sense changes in the light due to hand gestures and communicate them at a peak power of 20 microwatts, which represented orders of magnitude lower power consumption compared to the state-of-the-art light sensing systems. This project led him to the best paper award at ACM VLCS 2017 (co-located with ACM MobiCom 2017) and winner of the Student Research Competition at ACM Mobicom 2017 (in the graduate category). Moreover, Andreas received the best demonstration award for the design of a battery-free radio tomographic imaging system at ACM WiSec 2018. He has been selected for prestigious forums like The Cornell Maryland, Max Planck Pre-doctoral Research School 2018, and the Rising Stars Forum of ACM MobiSys 2019. Andreas has recently been admitted to the highly selective internship program at Max Planck Institute for Software Systems (MPI-SWS) in Germany next year and will be working under the mentorship of Peter Druschel.

 

 

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