A New Relaxation Labeling Architecture for Secure Localization in Sensor Networks

Abstract

In this paper, a new strategy is proposed to defend against colluding malicious nodes in a sensor network. The new strategy is based on a new relaxation labeling algorithm to classify nodes into benign or malicious ones. Only reports from benign nodes can then be used to perform localization and obtain accurate results. Experimental results based on simulations and field experiments illustrate the performance of the algorithm.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2007
Accession Number
ADA497971

Entities

People

  • Chih-chieh G. Chang
  • Cliff Wang
  • Wesley E. Snyder

Organizations

  • North Carolina State University

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Convergence
  • Detectors
  • Equations
  • Errors
  • Gaussian Noise
  • Image Processing
  • Information Operations
  • Iterations
  • Linear Systems
  • Networks
  • Noise
  • North Carolina
  • Sensor Networks
  • Simulations
  • Triangulation
  • United States

Fields of Study

  • Computer science

Readers

  • Computer Networking
  • Operations Research
  • Sensor Fusion and Tracking Systems.