Identification and Tracking Application of Self-Configuring Sensor Networks from Off-the-Shelf Parts
AffiliationUniversity of Arizona
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AbstractWith 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 self-reconfiguring 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.
SponsorsInternational Foundation for Telemetering