Location-Centric Distributed Computational and Signal Processing in Microsensor Networks

Abstract

The project addressed the following key challenges in the design of microsensor networks: (1) the need for simple and flexible programming abstraction, (2) the need for energy and bandwidth efficient collaborative signal processing algorithms, and (3) the need for robustness to sensor device failures. To address these challenges, the project developed an approach called location-centric computing. A library of communication primitives was developed based on this approach. These communication primitives were used to build a target tracking application that was robust to a large number of device failures. The associated collaborative signal processing algorithms and the corresponding information fusion algorithms were also developed as part of this project. The effectiveness of the approach and the associated algorithms were demonstrated through network simulations and through experimentation on a sensor network testbed.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2004
Accession Number
ADA423786

Entities

People

  • Parameswaran Ramanathan

Organizations

  • University of Wisconsin–Madison

Tags

Communities of Interest

  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Air Force Research Laboratories
  • Algorithms
  • Communication Systems
  • Computations
  • Computers
  • Detection
  • Detectors
  • Fault Tolerance
  • Information Exchange
  • Information Processing
  • Microsensors
  • Sensor Networks
  • Signal Processing
  • Target Detection
  • Target Tracking
  • Wireless Communications
  • Wireless Sensor Networks

Fields of Study

  • Computer science
  • Engineering

Readers

  • Distributed Systems and Data Platform Development