Information Processing in Sensor Networks

Second International Workshop, IPSN 2003, Palo Alto, CA, USA, April 22–23, 2003 Proceedings

  • Feng Zhao
  • Leonidas Guibas

Part of the Lecture Notes in Computer Science book series (LNCS, volume 2634)

Table of contents

  1. Front Matter
    Pages I-XII
  2. Information Processing in Sensor Networks

    1. Daniel Marco, Enrique J. Duarte-Melo, Mingyan Liu, David L. Neuhoff
      Pages 1-16
    2. Prakash Ishwar, Animesh Kumar, Kannan Ramchandran
      Pages 17-31
    3. Sundeep Pattem, Sameera Poduri, Bhaskar Krishnamachari
      Pages 32-46
    4. Joseph M. Hellerstein, Wei Hong, Samuel Madden, Kyle Stanek
      Pages 63-79
    5. Robert Nowak, Urbashi Mitra
      Pages 80-95
    6. Ben Grocholsky, Alexei Makarenko, Tobias Kaupp, Hugh F. Durrant-Whyte
      Pages 96-112
    7. Juan Liu, Jie Liu, James Reich, Patrick Cheung, Feng Zhao
      Pages 113-128
    8. Arnab Chakrabarti, Ashutosh Sabharwal, Behnaam Aazhang
      Pages 129-145
    9. Mohammad Ali Khojastepour, Ashutosh Sabharwal, Behnaam Aazhang
      Pages 146-161
    10. Michael Gastpar, Martin Vetterli
      Pages 162-177
    11. Prakash Ishwar, Rohit Puri, S. Sandeep Pradhan, Kannan Ramchandran
      Pages 178-192
    12. Chris Kreucher, Keith Kastella, Alfred O. Hero
      Pages 209-222
    13. Alexander T. Ihler, John W. Fisher, Alan S. Willsky
      Pages 239-253
    14. L. Yip, K. Comanor, J. C. Chen, R. E. Hudson, K. Yao, L. Vandenberghe
      Pages 269-284
    15. Xiaohong Sheng, Yu-Hen Hu
      Pages 285-300

About these proceedings


This volume contains the Proceedings of the 2nd International Workshop on Information Processing in Sensor Networks (IPSN 2003). The workshop was held at the Palo Alto Research Center (PARC), Palo Alto, California, on April 22–23, 2003. Informationprocessinginsensornetworksisaninterdisciplinaryresearcharea with deep connections to signal processing, networking and protocols, databases and information management, as well as distributed algorithms. Because of - vances in MEMS microsensors, wireless networking, and embedded processing, ad hoc networks of sensors are becoming increasingly available for commercial andmilitaryapplicationssuchasenvironmentalmonitoring(e.g.,tra?c,habitat, security), industrial sensing and diagnostics (e.g., factories, appliances), inf- structure maintenance (e.g., power grids, water distribution, waste disposal), and battle?eld awareness (e.g., multitarget tracking). From the engineering and computing point of view, sensor networks have become a rich source of problems in communication protocols, sensor tasking and control, sensor fusion, distributed databases and algorithms, probabilistic reasoning, system/software architecture, design methodologies, and evaluation metrics. This workshop took a systemic approach to address crosslayer issues, from the physical sensor layer to the sensor signal processing and networking levels and then all the way to the applications. Following the successful 1st Workshop on Collaborative Signal and Inf- mation Processing in Sensor Networks at PARC in 2001, this new workshop brought together researchers from academia, industry, and government to p- sent and discuss recent work concerning various aspects of sensor networks such as information organization, querying, routing, and self-organization, with an emphasis on the high-level information processing tasks that these networks are designed to perform.


Middleware Processing adhoc networking adhoc sensor algorithms database distributed algorithms distributed databases distributed sensor networks network communication networking networks sensor networks signal processing wireless networks

Editors and affiliations

  • Feng Zhao
    • 1
  • Leonidas Guibas
    • 2
  1. 1.Palo Alto Research Center (PARC)Palo AltoUSA
  2. 2.Computer Science DepartmentStanford UniversityStanfordUSA

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2003
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-02111-7
  • Online ISBN 978-3-540-36978-3
  • Series Print ISSN 0302-9743
  • About this book
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