[C-IoT Management] C-IoT Seminar next Monday (27th) at 12:00 in 53/4025: "Energy Harvesting Sensor Networks in Estimation and Control"

[Geoff Merrett]

Next Monday (27th Jan) at 12:00, Professor Subhrakanti Dey from the Hamilton Institute (National University of Ireland) will be giving a seminar in 53/4025 titled “Energy Harvesting Sensor Networks in Estimation and Control”. More information (bio/abstract) can be found below, or at https://www.c-iot.ecs.soton.ac.uk/events/B318.

Professor Dey will be here on the 28th January too – if you would like to meet with him, please drop me an email and I’ll try and arrange a time.

Abstract: As billions of devices are expected to be powered in the next generation of Internet of Things (IoT), ambient energy harvesting and wireless power transfer are two fast maturing technologies, that will become highly relevant. In numerous applications involving autonomous systems, smart homes, Industry 4.0 and advanced healthcare, we expect to see more and more wireless sensor networks powered by energy harvesting. Such networks may be deployed for specific tasks such as remote detection and estimation (smart agriculture) or wireless control (smart automation, autonomous systems). While most of the existing research on the use of sensor networks in such applications have focused on battery-powered sensors and how to increase their lifetimes, the potential problems are very different under the energy harvesting scenario. While energy harvesting promises the sensors to be perpetually powered, the availability of harvested energy is often random and unpredictable. Designing detection, estimation and control algorithms under the constraints of unreliable energy availability at the sensors gives rise to challenging co-design problems of estimation and control algorithms and optimal power management strategies. In this talk, we will look at some examples of remote estimation and wireless control where optimal energy/power allocation for sensing, processing and information transmission will be investigated with a goal of directly optimizing the estimation or control performance. Dynamic optimization problems will be formulated over a finite or infinite horizon and stochastic control based optimal solutions will be provided, along with reduced-complexity heuristics based algorithms and their numerical performance. An example of a recent case study in a paper mill in Sweden will be also provided for wireless process control.

Biography: ​Subhrakanti Dey received the Bachelor in Technology and Master in Technology degrees from the Department of Electronics and Electrical Communication Engineering, Indian Institute of Technology, Kharagpur, in 1991 and 1993, respectively, and the Ph.D. degree from the Department of Systems Engineering, Research School of Information Sciences and Engineering, Australian National University, Canberra, in 1996. He is currently a Professor with the Hamilton Institute, National University of Ireland, Maynooth, Ireland. He is also affiliated with the Dept. of Engineering Sciences in Uppsala University, Sweden. Prior to this, he was a Professor with the Department of Electrical and Electronic Engineering, University of Melbourne, Parkville, Australia, from 2000 until early 2013, and a Professor of Telecommunications at University of South Australia during 2017-2018.  From September 1995 to September 1997, and September 1998 to February 2000, he was a Postdoctoral Research Fellow with the Department of Systems Engineering, Australian National University. From September 1997 to September 1998, he was a Postdoctoral Research Associate with the Institute for Systems Research, University of Maryland, College Park. His current research interests include wireless communications and networks, signal processing for sensor networks, networked control systems, and molecular communication systems. Professor Dey currently serves on the Editorial Board of IEEE Control Systems Letters, IEEE Transactions on Control of Network Systems, and IEEE Transactions on Wireless Communications. He was also an Associate Editor for IEEE Transactions on Signal Processing, (2007-2010, 2014-2018), IEEE Transactions on Automatic Control, (2004-2007) and Elsevier Systems and Control Letters (2003-2013).

You may also be interested in the seminar this Thursday from Professor Bernard Stark (University of Bristol) titled “Research challenges for power electronics”. More information on this can be found at https://www.c-iot.ecs.soton.ac.uk/events/B324

Best regards,

Professor Geoff Merrett
Head of Centre for IoT and Pervasive Systems<http://www.c-iot.ecs.soton.ac.uk/>
Electronics and Computer Science
University of Southampton, UK, SO17 1BJ

t: +44 (0)23 8059 2775
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