Imperial College London > Talks@ee.imperial > Featured talks > Energy Efficiency in Delay-Constrained Sensing and Communication Energy Efficiency in Wireless Devices

Energy Efficiency in Delay-Constrained Sensing and Communication Energy Efficiency in Wireless Devices

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  • UserDr. Elza Erkip, Professor of Electrical and Computer Engineering at Polytechnic Institute of New York University
  • ClockTuesday 26 March 2013, 11:00-12:00
  • HouseEEE Building, Room 403b.

If you have a question about this talk, please contact Dr Flavio Zabini.

Energy Efficiency in Delay-Constrained Sensing and Communication Energy efficiency in wireless devices, from smart phones to wireless sensors, is of paramount interest not only for ensuring continuous network operation despite battery limitations, but also for reducing the carbon footprint of communication systems. There are many demands on the power supply of a wireless device, including signal processing algorithms and the wireless modem. In particular, with the advance of complex multimedia tasks, and shorter communication distances (as in sensor or machine-to-machine communications), the energy cost of signal acquisition and processing becomes comparable to transmit energy. Energy efficiency becomes even more critical for delay sensitive applications transmitted over time varying channels. This talk examines the impact of sensing energy cost, which includes the energy expanded in signal acquisition and compression, on delay-constrained communication system design. In the first part of the talk, using a simple model for sensing cost, we consider optimal resource (energy or rate) allocation for a sensor that observes a time varying Gaussian source. The goal is to minimize the mean squared error reconstruction of all the source samples at the receiver. We first consider a time-invariant channel with a given rate constraint for communication and a separate energy budget for sensing. We then extend our results to a time-varying channel and an overall energy budget for sensing and communication, incorporating delay-constraints on delivering the source samples to the destination. The second part of the talk considers possible correlation among the source samples and investigates lossy function computation in the presence of sensing costs. Bio: Elza Erkip received the Ph.D. and M.S. degrees in Electrical Engineering from Stanford University, and the B.S. degree in Electrical and Electronic Engineering from Middle East Technical University, Turkey. She joined Polytechnic Institute of New York University in Spring 2000, where she is now a Professor of Electrical and Computer Engineering. Her general research interests are in wireless communications, information theory and communication theory. Dr. Erkip is a Fellow of IEEE for contributions to multi-user and cooperative communications. She received IEEE Communication Society Rice Paper Award in 2003, NSF CAREER Award in 2001 and IBM Faculty Partnership Award in 2000. She co-authored papers that received 2007 ICC Communication Theory Symposium Best Paper Award and 2007 ISIT Student Paper Award. Elza Erkip is currently a Distinguished Lecturer of IEEE Information Theory Society and a Member of the Board of Governors. She is the General Co-Chair of 2013 IEEE International Symposium of Information Theory.

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