GeoSensor Networks Third International Conference, GSN 2009, Oxford,
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Editorial Board David Hutchison Lancaster University, UK Takeo Kanade Carnegie Mellon University, Pittsburgh, PA, USA Josef Kittler University of Surrey, Guildford, UK Jon M. Kleinberg Cornell University, Ithaca, NY, USA Alfred Kobsa University of California, Irvine, CA, USA Friedemann Mattern ETH Zurich, Switzerland John C. Mitchell Stanford University, CA, USA Moni Naor Weizmann Institute of Science, Rehovot, Israel Oscar Nierstrasz University of Bern, Switzerland C. Pandu Rangan Indian Institute of Technology, Madras, India Bernhard Steffen University of Dortmund, Germany Madhu Sudan Microsoft Research, Cambridge, MA, USA Demetri Terzopoulos University of California, Los Angeles, CA, USA Doug Tygar University of California, Berkeley, CA, USA Gerhard Weikum Max-Planck Institute of Computer Science, Saarbruecken, Germany
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Niki Trigoni Andrew Markham Sarfraz Nawaz (Eds.)
GeoSensor Networks Third International Conference, GSN 2009 Oxford, UK, July 13-14, 2009 Proceedings
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Volume Editors Niki Trigoni Andrew Markham Sarfraz Nawaz Oxford University Computing Laboratory Wolfson Building, Parks Road, Oxford, OX1 3QD, UK E-mail: {niki.trigoni,andrew.markham,sarfraz.nawaz}@comlab.ox.ac.uk
Library of Congress Control Number: 2009930106 CR Subject Classification (1998): C.3, J.2, C.2.4, C.2.1 LNCS Sublibrary: SL 3 – Information Systems and Application, incl. Internet/Web and HCI ISSN ISBN-10 ISBN-13
0302-9743 3-642-02902-7 Springer Berlin Heidelberg New York 978-3-642-02902-8 Springer Berlin Heidelberg New York
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Preface
This volume serves as the conference proceedings for the Third International Conference on GeoSensor Networks (GSN 2009) that was held in Oxford, UK, in July 2009. The conference addressed issues related to the deployment of geosensor networks and the collection and management of real-time geospatial data. This volume includes papers covering a variety of topics, ranging from sensing, routing and in-network processing, to data modelling, analysis, and applications. It reflects the cross-disciplinary nature of geosensor networks by bringing together ideas from different fields, such as geographic information systems, distributed systems, wireless networks, distributed databases, and data min
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