A framework for processing uncertain RFID data in supply chain management

Dong Xie, Quan Z. Sheng, Jiangang Ma, Yun Cheng, Yongrui Qin, Rui Zeng

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

Abstract

Radio Frequency Identification (RFID) is widely used to track and trace objects in supply chain management. However, massive uncertain data produced by RFID readers are not suitable for directly use in RFID applications. Following our thorough analysis of key features of RFID objects, this paper proposes a new framework for effectively and efficiently processing uncertain RFID data, and supporting a variety of queries for tracking and tracing RFID objects. In particular, we propose an adaptive cleaning method by adjusting size of smoothing window according to various rates of uncertain data, employing different strategies to process uncertain readings, and distinguishing different types of uncertain data according to their appearing positions. We propose a comprehensive data model, which is suitable for a wide range of application scenarios. In addition, a path coding scheme is proposed to significantly compress massive data by aggregating the path sequences, the positions and the time intervals. Experimental evaluations show that our approach is effective and efficient in terms of the compression and traceability queries.

Original languageEnglish
Title of host publicationWeb Information Systems Engineering - WISE 2013 - 14th International Conference, Proceedings
Subtitle of host publication14th International Conference, Nanjing, China, October 13-15, 2013, Proceedings, Part I
EditorsXuemin Lin, Yannis Manolopoulos, Divesh Srivastava, Guangyan Huang
Place of PublicationBerlin; New York
PublisherSpringer, Springer Nature
Pages396-409
Number of pages14
ISBN (Print)9783642412295
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event14th International Conference on Web Information Systems Engineering, WISE 2013 - Nanjing, China
Duration: 13 Oct 201315 Oct 2013

Publication series

NameLecture Notes in Computer Science
Volume8180
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other14th International Conference on Web Information Systems Engineering, WISE 2013
CountryChina
CityNanjing
Period13/10/1315/10/13

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