efficient analysis of rfid
Sangeetha S,A Sivagamidevi
Published in International Journal of Advanced Research in Computer Science Engineering and Information Technology
ISSN: 2321-3337 Impact Factor:1.521 Volume:2 Issue:1 Year: 08 February,2014 Pages:1-12
Abstract
RFID is used capture an individual objects, but it does not capture the inter-object relationship such as collocation and containment information. So, it leads to insufficient information about objects. RFID readings are inherently noisy with read a rate significantly leads to below 100 percent in actual deployments. This is largely due to sensitivity of radio frequency to environment factors such as metal objects and collisions among tags. So this leads to incomplete data. RFID can read excessive amount of large volume of data. However, the resulting data may encode significant amount of redundant information such as unchanged object locations. So it is necessary to be filtered and compressed the data. In this system addresses the above challenges by enhancing the Data inference and Compression techniques to reduce the collision rate and augment the missed data through anti-collision algorithm. It provides the accurate object location and collocation by using data inference
Kewords
RFID Data mining Web Mining Supply Chain Management
Reference
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