title: Processing uncertain RFID data in traceability supply chains.
abstract: 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.
authors.affiliation: Department of Information Science and Engineering, Hunan Institute of Humanities, Science and Technology, Loudi 417000, China.
authors.forename: Dong
authors.initials: D
authors.lastname: Xie
authors.affiliation: Department of Information Science and Engineering, Hunan First Normal University, Changsha, 410205, China.
authors.forename: Jie
authors.initials: J
authors.lastname: Xiao
authors.affiliation: Department of Electronics and Information Engineering, Loudi Vocational and Technical College, Loudi 417000, China.
authors.forename: Guangjun
authors.identifier: 0000-0003-0457-5007
authors.initials: G
authors.lastname: Guo
authors.affiliation: Department of Information Science and Engineering, Hunan Institute of Humanities, Science and Technology, Loudi 417000, China.
authors.forename: Tong
authors.identifier: 0000-0001-8952-0894
authors.initials: T
authors.lastname: Jiang
mesh_terms: D000465:Algorithms; D008962:Models, Theoretical