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Process estimation through a self-organizing collaborative wireless sensor network

Verdone R, Conti A, Sangiorgi D, Dardari D ...see all

IEEE Global Telecommunications Conference, 2004. GLOBECOM '04., vol. 5 (2004) pp. 3193-3199 Published by IEEE

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Abstract

An analytical framework for the performance evaluation of a dense energy-efficient wireless sensor network (WSN), enabling distributed collaborative environment monitoring, is developed. We address the estimation of a target multidimensional process by means of samples captured by nodes randomly and uniformly distributed and transmitted to a collector through a self-organizing clustered network. The estimation in the presence and in the absence of collaborative signal processing with different types of data interpolators are compared in terms of both process estimation error and network life-time. Our analytical model, aimed at providing useful information for WSN design, takes many aspects into account, such as distance-dependent path loss and shadowing, energy consumption, information routing, process estimation quality, node density, transmission protocol and system parameters. As an example result, fixing requirements on estimation errors and network life-time, the node density is found as a function of the system/protocol parameters.

Author-supplied keywords

  • Analytical models
  • CSP
  • Collaboration
  • Energy efficiency
  • Estimation error
  • Life estimation
  • Monitoring
  • Multidimensional signal processing
  • Multidimensional systems
  • Performance analysis
  • Wireless sensor networks
  • collaborative signal processing
  • communication protocols
  • data interpolators
  • dense energy-efficient WSN
  • distance-dependent path loss
  • distributed collaborative environment monitoring
  • distributed processing
  • energy consumption
  • information routing
  • multidimensional process estimation
  • network life-time
  • node density
  • process estimation error
  • process estimation quality
  • protocols
  • randomly distributed nodes
  • self-adjusting systems
  • self-organizing clustered network
  • self-organizing collaborative WSN
  • shadowing
  • transmission protocol
  • uniformly distributed nodes
  • wireless sensor network

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Authors

  • R. Verdone

  • A. Conti

  • D. Sangiorgi

  • D. Dardari

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