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Large Scale Communication NetworksMassively Distributed Self-Organizing NetworksMay 13 - 17, 2002Organizing Committee:
John Doyle
(California Institute of Technology)
Scientific ContentWhereas Workshop II concerns the horizontal integration of communication networks with other large-scale engineering systems, the focus of this workshop is on the vertical integration of communication networks with the physical substrate. Thus, the theme here is that at the component level, many networks (e.g., ad-hoc, sensor and control networks) must deal with energy or other resource constraints. If feedback control is done over a network, then the physical system being controlled is critical, and actuator bandwidth and power become additional constraints, as do certain real-time issues. Biology is a wonderful inspiration, as organisms not only integrate communications, controls, and computing but build networks at the molecular level. Biological networks must deal with energy limitations, but also stochastic effects of using chemicals as signaling systems. This workshop will delve into these cutting edge issues. SpeakersReka Albert (University of Minnesota)Jean Carlson (UCSB) David Culler (Intel / UC Berkeley) John Doyle (California Institute of Technology) Michelle Effros (California Institute of Technology) Deborah Estrin (UCLA) Massimo Franceschetti (California Institute of Technology) Andrea Goldsmith (Stanford University) Tad Hogg (Hewlett Packard Laboratories) Evelyn Fox Keller (Massachusetts Institute of Technology) Bhaskar Krishnamachari (Cornell University) P. R. Kumar (University of Illinois at Urbana-Champaign) Kristina Lerman (USC Information Sciences Institute) Urbashi Mitra (University of Southern California) Daniel Mossé (University of Pittsburgh) Kristofer Pister (University of California at Berkeley) Greg Pottie (UCLA) Kannan Ramchandran (University of California at Berkeley) Gaurav Sukhatme (University of Southern California) Feng Zhao (Xerox Palo Alto Research Center) Contact Us:Institute for Pure and Applied Mathematics (IPAM) |
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