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Information Processing in Sensor Networks

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

  • Conference proceedings
  • © 2003

Overview

Editors:
  1. Feng Zhao

    1. Palo Alto Research Center (PARC), Palo Alto, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. Leonidas Guibas

    1. Computer Science Department, Stanford University, Stanford, USA

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    You can also search for this editor in PubMed   Google Scholar

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

Included in the following conference series:

Conference proceedings info: IPSN 2003.

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Table of contents (44 papers)

  1. Front Matter

    Pages I-XII
    Download chapter PDF

  2. Information Processing in Sensor Networks

    1. On the Many-to-One Transport Capacity of a Dense Wireless Sensor Network and the Compressibility of Its Data

      • Daniel Marco, Enrique J. Duarte-Melo, Mingyan Liu, David L. Neuhoff
      Pages 1-16

    2. Distributed Sampling for Dense Sensor Networks: A “Bit-Conservation Principle”

      • Prakash Ishwar, Animesh Kumar, Kannan Ramchandran
      Pages 17-31

    3. Energy-Quality Tradeoffs for Target Tracking in Wireless Sensor Networks

      • Sundeep Pattem, Sameera Poduri, Bhaskar Krishnamachari
      Pages 32-46

    4. Adaptive and Decentralized Operator Placement for In-Network Query Processing

      • Boris Jan Bonfils, Philippe Bonnet
      Pages 47-62

    5. Beyond Average: Toward Sophisticated Sensing with Queries

      • Joseph M. Hellerstein, Wei Hong, Samuel Madden, Kyle Stanek
      Pages 63-79

    6. Boundary Estimation in Sensor Networks: Theory and Methods

      • Robert Nowak, Urbashi Mitra
      Pages 80-95

    7. Scalable Control of Decentralised Sensor Platforms

      • Ben Grocholsky, Alexei Makarenko, Tobias Kaupp, Hugh F. Durrant-Whyte
      Pages 96-112

    8. Distributed Group Management for Track Initiation and Maintenance in Target Localization Applications

      • Juan Liu, Jie Liu, James Reich, Patrick Cheung, Feng Zhao
      Pages 113-128

    9. Using Predictable Observer Mobility for Power Efficient Design of Sensor Networks

      • Arnab Chakrabarti, Ashutosh Sabharwal, Behnaam Aazhang
      Pages 129-145

    10. Bounds on Achievable Rates for General Multi-terminal Networks with Practical Constraints

      • Mohammad Ali Khojastepour, Ashutosh Sabharwal, Behnaam Aazhang
      Pages 146-161

    11. Source-Channel Communication in Sensor Networks

      • Michael Gastpar, Martin Vetterli
      Pages 162-177

    12. On Rate-Constrained Estimation in Unreliable Sensor Networks

      • Prakash Ishwar, Rohit Puri, S. Sandeep Pradhan, Kannan Ramchandran
      Pages 178-192

    13. Collaborative Signal Processing for Distributed Classification in Sensor Networks

      • Ashwin D’Costa, Akbar M. Sayeed
      Pages 193-208

    14. Multi-target Sensor Management Using Alpha-Divergence Measures

      • Chris Kreucher, Keith Kastella, Alfred O. Hero
      Pages 209-222

    15. A Distributed Algorithm for Managing Multi-target Identities in Wireless Ad-hoc Sensor Networks

      • Jaewon Shin, Leonidas J. Guibas, Feng Zhao
      Pages 223-238

    16. Hypothesis Testing over Factorizations for Data Association

      • Alexander T. Ihler, John W. Fisher, Alan S. Willsky
      Pages 239-253

    17. Energy-Constrained Collaborative Processing for Target Detection, Tracking, and Geolocation

      • Peter W. Boettcher, Gary A. Shaw
      Pages 254-268

    18. Array Processing for Target DOA, Localization, and Classification Based on AML and SVM Algorithms in Sensor Networks

      • L. Yip, K. Comanor, J. C. Chen, R. E. Hudson, K. Yao, L. Vandenberghe
      Pages 269-284

    19. Energy Based Acoustic Source Localization

      • Xiaohong Sheng, Yu-Hen Hu
      Pages 285-300
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  1. Information Processing in Sensor Networks

Keywords

About this book

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 anemphasis on the high-level information processing tasks that these networks are designed to perform.

Editors and Affiliations

  • Palo Alto Research Center (PARC), Palo Alto, USA

    Feng Zhao

  • Computer Science Department, Stanford University, Stanford, USA

    Leonidas Guibas

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