Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/14056
Title: Efficient distributed query processing in large RFID-enabled supply chains
Authors: Liu, J
Xiao, B 
Bu, K
Chen, L
Keywords: Data structures
Monitoring
Query processing
Radiofrequency identification
Supply chain management
Issue Date: 2014
Publisher: IEEE
Source: IEEE INFOCOM 2014 : IEEE Conference on Computer Communications, April 27-May 2, 2014, Toronto, ON, Canada, p. 163-171 How to cite?
Abstract: Radio Frequency Identification (RFID) has dramatically streamlined supply chain management by automatically monitoring and tracking commodities. Considering the proliferation of RFID data volume, distributed storage is more applicable and scalable than centralized storage for distributed query processing. Traditional distributed RFID data storage requires each distribution center to locally store raw RFID data, leading to data redundancy, storage and query inefficiency. In this paper, we design an efficient distributed storage model by leveraging Bloom filters to save storage space and improve query efficiency. Meanwhile, we establish corresponding query processing schemes to locally support existence queries and path queries, which are two kinds of most popular queries in the supply chain management. A local query can be completed with constant time complexity regardless of data volume. Experiments demonstrate that our storage model outperforms the traditional one in terms of both space and time efficiency.
URI: http://hdl.handle.net/10397/14056
ISBN: 
DOI: 10.1109/INFOCOM.2014.6847936
Appears in Collections:Conference Paper

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