Processing Uncertain RFID Data in Traceability Supply Chains
Radio Frequency Identification (RFID) is widely used to track and trace objects in traceability supply chains. However, massive uncertain data produced by RFID readers are not effective and efficient to be used in RFID application systems. Following the analysis of key features of RFID objects, this...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/535690 |
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| author | Dong Xie Jie Xiao Guangjun Guo Tong Jiang |
| author_facet | Dong Xie Jie Xiao Guangjun Guo Tong Jiang |
| author_sort | Dong Xie |
| collection | DOAJ |
| description | Radio Frequency Identification (RFID) is widely used to track and trace objects in traceability supply chains. However, massive uncertain data produced by RFID readers are not effective and efficient to be used in RFID application systems. Following the 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. We adjust different smoothing windows according to different rates of uncertain data, employ different strategies to process uncertain readings, and distinguish ghost, missing, and incomplete data according to their apparent positions. We propose a comprehensive data model which is suitable for different application scenarios. In addition, a path coding scheme is proposed to significantly compress massive data by aggregating the path sequence, the position, and the time intervals. The scheme is suitable for cyclic or long paths. Moreover, we further propose a processing algorithm for group and independent objects. Experimental evaluations show that our approach is effective and efficient in terms of the compression and traceability queries. |
| format | Article |
| id | doaj-art-4af687d4dabe438e80695ce59129e932 |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-4af687d4dabe438e80695ce59129e9322025-02-03T01:31:29ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/535690535690Processing Uncertain RFID Data in Traceability Supply ChainsDong Xie0Jie Xiao1Guangjun Guo2Tong Jiang3Department of Information Science and Engineering, Hunan Institute of Humanities, Science and Technology, Loudi 417000, ChinaDepartment of Information Science and Engineering, Hunan First Normal University, Changsha, 410205, ChinaDepartment of Electronics and Information Engineering, Loudi Vocational and Technical College, Loudi 417000, ChinaDepartment of Information Science and Engineering, Hunan Institute of Humanities, Science and Technology, Loudi 417000, ChinaRadio Frequency Identification (RFID) is widely used to track and trace objects in traceability supply chains. However, massive uncertain data produced by RFID readers are not effective and efficient to be used in RFID application systems. Following the 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. We adjust different smoothing windows according to different rates of uncertain data, employ different strategies to process uncertain readings, and distinguish ghost, missing, and incomplete data according to their apparent positions. We propose a comprehensive data model which is suitable for different application scenarios. In addition, a path coding scheme is proposed to significantly compress massive data by aggregating the path sequence, the position, and the time intervals. The scheme is suitable for cyclic or long paths. Moreover, we further propose a processing algorithm for group and independent objects. Experimental evaluations show that our approach is effective and efficient in terms of the compression and traceability queries.http://dx.doi.org/10.1155/2014/535690 |
| spellingShingle | Dong Xie Jie Xiao Guangjun Guo Tong Jiang Processing Uncertain RFID Data in Traceability Supply Chains The Scientific World Journal |
| title | Processing Uncertain RFID Data in Traceability Supply Chains |
| title_full | Processing Uncertain RFID Data in Traceability Supply Chains |
| title_fullStr | Processing Uncertain RFID Data in Traceability Supply Chains |
| title_full_unstemmed | Processing Uncertain RFID Data in Traceability Supply Chains |
| title_short | Processing Uncertain RFID Data in Traceability Supply Chains |
| title_sort | processing uncertain rfid data in traceability supply chains |
| url | http://dx.doi.org/10.1155/2014/535690 |
| work_keys_str_mv | AT dongxie processinguncertainrfiddataintraceabilitysupplychains AT jiexiao processinguncertainrfiddataintraceabilitysupplychains AT guangjunguo processinguncertainrfiddataintraceabilitysupplychains AT tongjiang processinguncertainrfiddataintraceabilitysupplychains |