Speaker : Assoc. Prof. Volkan Rodoplu
Time and Place: June 06,2017 at 13:40 in FENS G035
Title: Protocol Design for the Internet of Things
50 billion devices, mostly operating without human intervention, are expected to be on the Internet by the year 2020. The goal of this talk is to delineate two research thrusts in coping with this challenge. Our first research thrust is the development of automated protocol generation techniques to enable rapid protocol design at all layers of the protocol stack. As part of this thrust, we describe a novel model that we developed in which the exchange of control information is incorporated into optimization. This model allows structurally different protocols to be subsumed under the same framework. Second, we describe a novel technique, called "Symbolic Monte Carlo Simulation", by which increasingly accurate expressions of the objective function of the optimization program are collected via sampling the state space. We apply this technique to the generation of medium access control protocols for multiple neighborhoods and for dynamic network topologies. We describe how this fundamentally different approach to protocol design can aid the design of protocols for the Internet of Things. Our second research thrust is the use of predictive analytics to solve the Massive Access Problem for the Internet of Things, which refers to the problem of wireless access of a massive number of devices. We show how network resources can be pre-allocated based on network traffic predictions enabled by machine learning. Our multi-pronged approach based on these two research thrusts has the potential to produce fundamentally different solutions to the access problem of a new generation of devices that is poised to define the Internet of the near future.
Volkan Rodoplu received his B.S. degree in Electrical Engineering (summa cum laude) from Princeton University in 1996 and his M.S. degree in Electrical Engineering from Stanford University in 1998. He worked in the Wireless Research Division of Texas Instruments in Summer 1998, and for Tensilica, Inc. in Silicon Valley in 2000-2001. He received his Ph.D. in Electrical Engineering from Stanford University in 2003. He served in the Department of Electrical and Computer Engineering at the University California Santa Barbara as an Assistant Professor from 2003 to 2009, and as an Associate Professor with tenure from 2010 to 2016. His area of expertise is wireless communications and networking. He is the recipient of the National Science Foundation CAREER Award, the University of California Regents’ Junior Faculty Fellowship, the Andreas Bechtolsheim Stanford Graduate Fellowship, Stanford University Department of Electrical Engineering Outstanding Service Award, the John W. Tukey Award of the American Statistical Association, the George B. Wood Legacy Jr. Prize and the G. David Forney Jr. Prize from Princeton University.