Abstract
Radio Frequency Identification (RFID) technology has been used in numerous applications, e.g., supply chain management and inventory control. This paper focuses on the practically important problem of the rapid estimation of the number of tags in large‐scale RFID systems with multiple readers and multicategory RFID tags. RFID readers are often static and have to be deployed strategically after careful planning to cover the entire monitoring area, but reader‐to‐reader collision (R2Rc) remains a problem. R2Rc decreases the reliability of the estimation of the tag population size, because it results in the failure of communication between the reader and tags. In this paper, we propose a coloring graph‐based estimation scheme (CGE), which is the first estimation framework designed for multireader and multicategory RFID systems to determine the distribution of tags in different categories. CGE allows for the use of any estimation protocol to determine the number of tags, prevents R2Rc, and results in higher time efficiency and less power‐consumption than the classic scheduling method DCS.
Highlights
Radio Frequency Identification (RFID) technology has been widely deployed to monitor objects in the supply chain
The simulation results show that the proposed coloring graph-based estimation scheme (CGE) results in higher time efficiency and less power consumption than the classic scheduling method distributed color selection (DCS) and variablemaximum dstributed color selection (VDCS) [11]
We implement the estimation protocols FNEB and ES based on our CGE scheduling scheme and the classic reader scheduling method DCS and VDCS under the same parameters [11]
Summary
Radio Frequency Identification (RFID) technology has been widely deployed to monitor objects in the supply chain. Multicategory tag estimation is challenging in multireader RFID systems because of the reader-to-reader collision (R2Rc) and the multicoverage tags. Some readerscheduling schemes [11,12,13,14,15] were proposed to resolve the issues of R2Rc and multicoverage tags, their time efficiency is far from optimal because none of them makes use of the tag category distribution characteristics. The tag categories are distributed sequentially, and one category tags are centrally piled up together They are of low time efficiency because they have to perform the multicategory RFID estimation category by category [4]. We propose the coloring graph-based estimation (CGE) scheme to reduce the reader-to-reader collisions to improve the time efficiency of tag cardinality estimation schemes in multiple categories and multiple reader RFID systems. The simulation results show that the proposed CGE results in higher time efficiency and less power consumption than the classic scheduling method distributed color selection (DCS) and variablemaximum dstributed color selection (VDCS) [11]
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