Complex RFID event processing

  • Authors:

  • Fusheng Wang;Shaorong Liu;Peiya Liu

  • Affiliations:

  • Center for Comprehensive Informatics, Emory University, Atlanta, USA 30322;IBM Silicon Valley Lab, San Jose, USA 95141;Integrated Data System Department, Siemens Corporate Research, Princeton, USA 08540

  • Venue:
  • The VLDB Journal — The International Journal on Very Large Data Bases
  • Year:
  • 2009

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Abstract

Advances of sensor and radio frequency identification (RFID) technology provide significant new power for humans to sense, understand and manage the world. RFID provides fast data collection with precise identification of objects with unique IDs without line of sight, thus it can be used for identifying, locating, tracking and monitoring physical objects. Despite these benefits, RFID poses many challenges for data processing and management: (i) RFID observations have implicit meanings, which have to be transformed and aggregated into semantic data represented in their data models; and (ii) RFID data are temporal, streaming, and in high volume, and have to be processed on the fly. Thus, a general RFID data processing framework is needed to automate the transformation of physical RFID observations into the virtual counterparts in the virtual world linked to business applications. In this paper, we take an event-oriented approach to process RFID data, by devising RFID application logic into complex events. We then formalize the specification and semantics of RFID events and rules. We discover that RFID events are highly temporal constrained, and include non-spontaneous events, and develop an RFID event detection engine that can effectively process complex RFID events. The declarative event-based approach greatly simplifies the work of RFID data processing, and can significantly reduce the cost of RFID data integration.