Abstract
Radio Frequency Identification (RFID) is a new technology which allows a sensor (reader) to read, from a distance, and without line of sight, a unique product identification code (EPC) associated with a tag. Such tags are very useful in inventory management and logistics, because they can be used in order to track the movement and locations of large volumes of items in a cost effective way. This leads to massive streams of noisy data, which can be used in the context of a variety of data management and event processing algorithms. The use of RFID also has a number of privacy challenges associated with it, because a tag on an item being carried by a person, also becomes a unique location tag for that person. Therefore, methods need to to be designed to increase the privacy and security of RFID technology. This chapter will provide a broad overview and survey of a variety of RFID data management, mining and processing techniques. We will also discuss the privacy and security issues associated with the use of RFID technology.
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© 2013 Springer Science+Business Media New York
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Aggarwal, C.C., Han, J. (2013). A Survey of RFID Data Processing. In: Aggarwal, C. (eds) Managing and Mining Sensor Data. Springer, Boston, MA. https://doi.org/10.1007/978-1-4614-6309-2_11
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DOI: https://doi.org/10.1007/978-1-4614-6309-2_11
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Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4614-6308-5
Online ISBN: 978-1-4614-6309-2
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