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RFID Data Encoding Scheme in Supply Chain Management with Aid of Orthogonal Transformation and Genetic Algorithm (GA)
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Abstract
An RFID technology is most important process in supply chain management. In order to know the movements of products in supply chain management, an RFID tag is attached to a product. If the product with an RFID tag moves or stays near the detection region, RFID readers will detect RFID tags information. If the data volume gets increased, the processing of such RFID data becomes complex and hence storing and retrieving data to be very challenging. Nowadays, the RFID data related research works, the complexity reduction on processing such RFID data remains a big challenge. Hence to avoid such negative aspects a new RFID data encoding scheme is proposed in the supply chain management. To reduce the complexity of the processing the RFID data’s, or proposed method utilizing orthogonal transformation and optimization model during the raw data processing. Initially, the RFID data to be processed by the orthogonal transformation and that the data’s are optimally clustered by the well renowned optimization technique is named as GA. After that, the clustered data’s are encoded by exploiting the path encoding and order encoding schemes. Based on the path encoding scheme and the order encoding scheme, we devise a storage scheme that can process tracking queries and path oriented queries efficiently on an RDBMS. Finally, we propose a method that translates the queries to SQL queries. The proposed method is implemented and the queries are efficiently retrieved and the results are compared against the conventional RFID path encoding scheme.
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