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Andrew T. Campbell Dartmouth College, USA |
MetroSense: People-Centric Sensing at Scale
Abstract
When we think of existing wireless sensor networks, people are out-of- the-loop they simply interact at the periphery of the network with physically embedded static sensor webs to realize small scale application-specific sensing applications (e.g., environmental sensing, industrial sensing, etc.) of interest to scientists and engineers. Looking forward 10-20 years we envision Internet scale sensing where a large amount of the traffic on the network is sensor data and a large amount of applications used every day by people integrate sensing, fusion, and actuation in some form or another. Sensing will be transformed from mostly static and physically embedded to mostly mobile and people-centric. The MetroSense project at Dartmouth College is developing a new wireless sensor edge network for Internet based on the concept of people-centric sensing at scale (e.g., campus, town, metropolis). We are studying three aspects of the problem: (i) the large-scale deployment of mobile people-centric sensors (both motes and sensor-enabled cell phones) and their interaction with embedded static sensor webs; (ii) the concept of opportunistic tasking, sensing, and fusion; and (iii) security, trust, and privacy - because people-centric sensing raises a number of important privacy issues. In this talk, I will discuss our progress in designing and deploying prototype implementations of the MetroSense architecture with the ultimate goal of building out a campus-wide people-centric sensor network.
Background
Andrew joined Dartmouth College in 2005 as an Associate Professor in Computer Science where he leads the SensorLab and is a member of the Center for Mobile Computing (CMC) and the Institute for Security Technology Studies (ISTS). Prior to joining Dartmouth Andrew was an Associate Professor of Electrical Engineering at Columbia University (1996-2005) and a member of the COMET Group. His current research interests include people-centric sensing, intrusion detection systems for WiFi networks, and open spectrum wireless networks.
Andrew received his PhD in Computer Science (1996) from Lancaster University, England, and the NSF Career Award (1999) for his research in programmable wireless networking. Prior to joining academia he spent 10 years working in industry both in Europe and the USA in product research and development of computer networks and wireless packet networks. He spent his sabbatical year (2003-2004) at the Computer Lab, Cambridge University, as an EPSRC Visiting Fellow. In 2005 Andrew and his family relocated from Manhattan to Norwich, Vermont.
When we think of existing wireless sensor networks, people are out-of- the-loop they simply interact at the periphery of the network with physically embedded static sensor webs to realize small scale application-specific sensing applications (e.g., environmental sensing, industrial sensing, etc.) of interest to scientists and engineers. Looking forward 10-20 years we envision Internet scale sensing where a large amount of the traffic on the network is sensor data and a large amount of applications used every day by people integrate sensing, fusion, and actuation in some form or another. Sensing will be transformed from mostly static and physically embedded to mostly mobile and people-centric. The MetroSense project at Dartmouth College is developing a new wireless sensor edge network for Internet based on the concept of people-centric sensing at scale (e.g., campus, town, metropolis). We are studying three aspects of the problem: (i) the large-scale deployment of mobile people-centric sensors (both motes and sensor-enabled cell phones) and their interaction with embedded static sensor webs; (ii) the concept of opportunistic tasking, sensing, and fusion; and (iii) security, trust, and privacy - because people-centric sensing raises a number of important privacy issues. In this talk, I will discuss our progress in designing and deploying prototype implementations of the MetroSense architecture with the ultimate goal of building out a campus-wide people-centric sensor network.
Background
Andrew joined Dartmouth College in 2005 as an Associate Professor in Computer Science where he leads the SensorLab and is a member of the Center for Mobile Computing (CMC) and the Institute for Security Technology Studies (ISTS). Prior to joining Dartmouth Andrew was an Associate Professor of Electrical Engineering at Columbia University (1996-2005) and a member of the COMET Group. His current research interests include people-centric sensing, intrusion detection systems for WiFi networks, and open spectrum wireless networks.
Andrew received his PhD in Computer Science (1996) from Lancaster University, England, and the NSF Career Award (1999) for his research in programmable wireless networking. Prior to joining academia he spent 10 years working in industry both in Europe and the USA in product research and development of computer networks and wireless packet networks. He spent his sabbatical year (2003-2004) at the Computer Lab, Cambridge University, as an EPSRC Visiting Fellow. In 2005 Andrew and his family relocated from Manhattan to Norwich, Vermont.
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Dr. John Lefor European Microsoft Innovation Center (EMIC) Aachen, Germany |
Background
John Lefor, Director of the European Microsoft Innovation Center
(EMIC) in Aachen, Germany has more than 30 years of experience in
software development, product management, networking and research in
both academic and commercial settings. Initially working at the University of
Rochester in Rochester, New York, he has been with Microsoft in Redmond, United
States for 15 years - last 10 years of which were with Microsoft Research.
Since joining Microsoft in 1990, John has worked on a variety of projects and technologies ranging from DOS based toolkits to online conferencing technology used for distance learning in higher education. As a member of the Programmer Productivity Research Center in Microsoft Research he was deeply involved in the development and delivery of many of the tools used by Microsoft product groups for measuring and enhancing the performance and correctness of Microsoft products. Several of these tools have been shipped to Microsoft's customers, most recently in Visual Studio 2005.
John was also instrumental in developing and supporting the use of the Phoenix compiler backend technology for higher education and software engineering research through the creation of the Phoenix Academic Program and is now devoting his time to commercial and academic collaborative innovation through the European Microsoft Innovation Center.
Since joining Microsoft in 1990, John has worked on a variety of projects and technologies ranging from DOS based toolkits to online conferencing technology used for distance learning in higher education. As a member of the Programmer Productivity Research Center in Microsoft Research he was deeply involved in the development and delivery of many of the tools used by Microsoft product groups for measuring and enhancing the performance and correctness of Microsoft products. Several of these tools have been shipped to Microsoft's customers, most recently in Visual Studio 2005.
John was also instrumental in developing and supporting the use of the Phoenix compiler backend technology for higher education and software engineering research through the creation of the Phoenix Academic Program and is now devoting his time to commercial and academic collaborative innovation through the European Microsoft Innovation Center.