Identification and tracking application of self-configuring sensor networks from off the-shelf parts

Kevin Wood, Michael Zack Stephens, Michael Moore, Thurston Hane, Michael Marcellin, Hao Xin

Research output: Contribution to journalConference articlepeer-review

Abstract

With the cost of microprocessor systems dropping steadily, sensor networks are becoming more and more viable for replacing traditional "dumb" sensors. This presents a host of advantages to the system collecting data, and allows for unprecedented system flexibility. In parallel to these developments, RFID "tagging" has come a long way and has also entered the realm of affordable sensor solutions. The merger of these ideas enables transient, modular, and reconfigurable asset identification and tracking systems. In this paper, we explore the feasibility of implementing such a network with commercial off-the-shelf (COTS) parts for real world applications. Specifically, we create a drop-in system for managing documents and records in a medical triage center, based on identifying assets and personnel by means of RFID. A selfreconfiguring sensor network provides the foundation, allows for the system to be deployed in minutes, both on a battlefield or in a hospital, and once deployed, the hospital beds may move around freely. The advantages of this platform will be discussed alongside the unique requirements that are introduced in this type of project.

Original languageEnglish (US)
JournalProceedings of the International Telemetering Conference
Volume45
StatePublished - 2009
Event45th Annual International Telemetering Conference and Technical Exhibition - Disruptive Technologies and Their Impact on Telemetry, ITC/USA 2009 - Las Vegas, NV, United States
Duration: Oct 26 2009Oct 29 2009

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Instrumentation
  • Computer Networks and Communications
  • Signal Processing

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