Title :
Integrated radio frequency identification and wireless sensor network architecture for automated inventory management and tracking applications
Author :
McKelvin, Mark L., Jr. ; Williams, Mitchel L. ; Berry, Nina M.
Author_Institution :
California Univ., Berkeley, CA, USA
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.
Keywords :
inventory management; radiofrequency identification; tracking; wireless sensor networks; TinyOS; asset management; asset tracking; automated inventory management; data access; radio frequency identification; real-time control; real-time monitoring; tracking system; wireless sensor network; Communication system control; Control systems; Distributed control; Inventory management; Monitoring; Prototypes; Radio control; Radiofrequency identification; Real time systems; Wireless sensor networks; Design; Experimentation; Management; Measurement; Radio frequency identi cation; TinyOS; asset management and tracking; wireless sensor networks;
Conference_Titel :
Diversity in Computing Conference, 2005 Richard Tapia Celebration of
Print_ISBN :
1-59593-257-7
DOI :
10.1109/RTCDC.2005.201643