Standard Article

Sensor Network Paradigms

Systems and System Design

Sensor/Actuator Network Configuration

  1. Charles R. Farrar,
  2. Gyuhae Park,
  3. Kevin M. Farinholt

Published Online: 15 SEP 2009

DOI: 10.1002/9780470061626.shm087

Encyclopedia of Structural Health Monitoring

Encyclopedia of Structural Health Monitoring

How to Cite

Farrar, C. R., Park, G. and Farinholt, K. M. 2009. Sensor Network Paradigms. Encyclopedia of Structural Health Monitoring. .

Author Information

  1. Los Alamos National Laboratory, Engineering Institute, Los Alamos, NM, USA

Publication History

  1. Published Online: 15 SEP 2009


Structural health monitoring (SHM) requires a rigorous approach to designing the sensing system used for the data-acquisition portion of a problem. To date, most SHM sensor system designs are done in a somewhat ad hoc manner where the engineer picks a sensing system that is readily available and that he or she is familiar with, and then attempts to demonstrate that a specific type of damage can be detected with that system. More recently, researchers have begun to develop sensor networks designed specially for SHM. On the basis of this research, several SHM sensor network paradigms have emerged, and this article is intended to provide an overview of these paradigms. First, a brief summary of the statistical pattern-recognition approach to SHM problem is presented. The data-acquisition portion of the paradigm is then addressed in detail, where the various parameters of the system that must be considered in its design and subsequent field deployment are summarized. This article focuses on several general SHM sensor network paradigms that have emerged and concludes by summarizing axioms for SHM that have been proposed in the literature and that are directly related to sensing issues for SHM.


  • structural health monitoring;
  • sensor networks;
  • sensor nodes