Integrated radio frequency identification and wireless sensor network architecture for automated inventory management and tracking applications

  • Authors:
  • Mark L. McKelvin, Jr.;Mitchel L. Williams;Nina M. Berry

  • Affiliations:
  • University of California, Berkeley, California;Sandia National Laboratories, Livermore, California;Sandia National Laboratories, Livermore, California

  • Venue:
  • Proceedings of the 2005 conference on Diversity in computing
  • Year:
  • 2005

Quantified Score

Hi-index 0.00

Visualization

Abstract

We provide a system architecture that applies radio frequency identification and wireless sensor network technologies to automate inventory management and tracking of commercial assets. A set of environment parameters are considered as a result of the environment for which this application serves. To meet system design constraints and application requirements, a system architecture is proposed that automates inventory management and tracking in a large office environment. A prototype implementation applies this system architecture, and provides insight as to areas for further work in data access, network communications, distributed real-time control and monitoring, and advancements in radio frequency identification technology.