Reader level filtering for efficient query processing in RFID middleware. (February 2015)

• Record Type: Journal Article
• Authors: Kabir, Muhammad Ashad; Han, Jun; Hong, Bonghee
• Is Part Of: Journal of network and computer applications. Volume 48(2015)
• Page Start: 58
• Page End: 70
• Publication Date: 2015-02
• Subjects: Query processing -- RFID middleware -- Reader-level filtering -- Query decomposition -- User memory of RFID tag -- EPCglobal; Microcomputers -- Periodicals; Computer networks -- Periodicals; Application software -- Periodicals; Micro-ordinateurs -- Périodiques; Réseaux d'ordinateurs -- Périodiques; Logiciels d'application -- Périodiques; Application software; Computer networks; Microcomputers; Periodicals; 004.05; 004
• DOI: 10.1016/j.jnca.2014.10.006
• Languages: English
• ISSNs: 1084-8045

Abstract

Abstract: In RFID systems, middleware is used to filter a large amount of streaming data gathered continuously from readers to process application requests. The high volume of data makes the middleware often in a highly overloaded situation. The reader filtering capability can be used to reduce data volume and middleware work-load. However, if the middleware dispatches query conditions to readers without any adjustment, it may generate a huge amount of duplicate data and imposes considerable load on the middleware. As such, an appropriate schema for data volume reduction is required. In this paper, we propose a query decomposition technique to divide queries into sub-queries for middleware and reader level execution. This new approach of query execution resolves the problem of duplicate data generation. Our experiments show that the proposed approach considerably improves the performance of middleware by reducing query processing time and network traffic between reader and middleware. Highlights: We exploit RFID readers' filtering capability for processing query efficiently. We present query models for RFID middleware and reader. We present algorithms to decompose query to process by middleware and reader. Our approach resolves the problem of duplicate data generation and improves the performance of middleware.