Abstract
RFID (Radio Frequency Identification) has achieved widespread success in supply chain management, object identification, and assets tracking. In these applications, we often need to search for a particular set of products in a large-scale collection of products. Existing schemes have been proposed, but they are limited by a couple of problems. Firstly, they fail to work under the situation when the cardinality of X is much larger than that of Y. Secondly, they implicitly assume the RFID readers are adequate powerful so that readers can handles a large number of query requests in a short time. To this end, we propose ITSP – Cloud-based Iterative Tag Search Protocol, which can locate the tags in a secure and efficient manner. To be secure, ITSP authenticates the communications between RFID readers and tags to in advance. To be efficient, ITSP reformats the single-round communication model to a multi-round communication one between readers and tags. Furthermore, ITSP employs a cloud-based service to rapidly conduct the searching process. Extensive experimental results show that the proposed scheme achieves high-levels of searching efficiency with the improvement at least 19 %.
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Acknowledgments
Dr. Zhang and Dr. Zhao are the corresponding author. This work was supported in part by the National Natural Science Foundation of China under Grant 61103185 and 61472283, the Fok YingTong Education Foundation of China under Grant 142006, the Research Funds for the Central Universities under Grant 2100219043, and the National Basic Research Program of China (973 Program) under Grant 2014CB340404.
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© 2015 Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Qian, Y., Zhang, D., Zhao, S., Fan, X., Fan, K. (2015). Cloud-Based Iterative RFID Tag Search Protocol Using Bloom Filters. In: Leung, V., Lai, R., Chen, M., Wan, J. (eds) Cloud Computing. CloudComp 2014. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 142. Springer, Cham. https://doi.org/10.1007/978-3-319-16050-4_14
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DOI: https://doi.org/10.1007/978-3-319-16050-4_14
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