Assured Wireless Networking: Peer-Based Validation via Spectral Clustering

Abstract

The report documents the development and test results of mathematical models and algorithms for wireless computing, sensing, and communications systems. The first contribution of this research is a novel spectral clustering method able to perform grouping by examining just the signs in leading eigenvectors of the input data. This method greatly simplifies spectral clustering, while improving the speed and robustness of the clustering process. The second contribution developed a spectral-based method for validating sensor nodes via clustering of sensors based on their measurement data. With this peer validation method, the impracticality of bringing calibration instruments to the field is overcome. This allows for easy sensor validation procedures to be conducted on the spot.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2010
Accession Number
ADA517217

Entities

People

  • H. T. Kung

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Air Force Research Laboratories
  • Algorithms
  • Applied Mathematics
  • Computer Vision
  • Detection
  • Detectors
  • Eigenvectors
  • Information Exchange
  • Information Processing
  • Information Systems
  • Mathematical Models
  • Measurement
  • Models
  • Sensor Networks
  • Simulations
  • Two Dimensional
  • Wireless Sensor Networks

Fields of Study

  • Computer science

Readers

  • Aerospace Test and Evaluation
  • Computer Networking
  • Systems Analysis and Design