Energy-Efficient Routing for Signal Detection in Wireless Sensor Networks

Abstract

For many envisioned applications of wireless sensor networks (WSWs), the information processing involves designing with distributed data in the context of accurate signal detection and energy-efficient routing, which have been active research topics for many years, respectively. In this paper, we relate these two aspects via joint optimization. Considering the scenario of using distributed radar-like sensors to detect the presence of an object through active sensing, we formulate the Neyman-Pearson criterion, apparently for the first time. The joint optimization of detection and routing is carried out in a fusion center which precomputes the routes as a function of the geographic location to be monitored. Accordingly, we propose three different routing metrics that aim at an appropriate trade-off between the detection performance and the energy expenditure.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2009
Accession Number
ADA515375

Entities

People

  • Brian M. Sadler
  • Rick Blum
  • Yang Yang

Organizations

  • Lehigh University

Tags

Communities of Interest

  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Computer Programs
  • Detection
  • Detectors
  • Electrical Engineering
  • Energy Consumption
  • Information Processing
  • Integer Programming
  • Military Research
  • Operations Research
  • Optimization
  • Probability
  • Sensor Networks
  • Signal Detection
  • Signal Processing
  • Simulations
  • Wireless Sensor Networks

Fields of Study

  • Computer science
  • Engineering

Readers

  • Image Processing and Computer Vision.
  • Operations Research
  • Systems Analysis and Design