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Anomaly Detection and Elimination Algorithm for RFID Data in Healthcare
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 49 - Number 3 |
| Year of Publication: 2012 |
| Authors: A. Anny Leema, Hemalatha.m |
10.5120/7606-0619
|
A. Anny Leema, Hemalatha.m . Anomaly Detection and Elimination Algorithm for RFID Data in Healthcare. International Journal of Computer Applications. 49, 3 ( July 2012), 11-18. DOI=10.5120/7606-0619
Abstract
The RFID technology has penetrated into all the sectors like supply chain automation, asset tracking, medical/Health Care applications, people tracking, Manufacturing, Retail, Warehouses, Livestock Timing and the healthcare sector due to its increased functionality, low cost, high reliability and easy-to-use capabilities. RFID system produces data that are unreliable, low-level, and rarely able to be used directly by applications. This paper discusses the existing physical, middleware and deferred approaches to deal with anomalies. Each approach has its own drawbacks. To clean the anomaly - false positive in an effective manner we have chosen the integrated approach of middleware and deferred. The premise taken is based on cellular for detecting out of the range readings . The RFID readers have Omni-directional antenna and hence there are possibilities for the adjacent regions to over lap with each other. Algorithm proposed in this paper do not deal with any physical device , but rather integrate middleware and deferred to construct RFID hybrid system that lighten issues associated with using RFID data through adaptive cleaning technique. The resultant data is cleaned data and it can be used for any high end applications. Simulation shows our approach deals with RFID data more efficiently and accurately.
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