Open AccessReconstruct unrecoverable data in real‐time networks using Bézier curve
Author(s) -
Nugroho Dwi Agung,
Rizal Syamsul,
Kim DongSeong
Publication year - 2015
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2014.0788
Subject(s) - bézier curve , retransmission , computer science , curve fitting , algorithm , smoothing , computation , data transmission , data point , transmission (telecommunications) , mathematics , geometry , computer vision , telecommunications , computer network , machine learning
This study proposes a method to handle unrecoverable data using a formula called Bézier curve. The proposed method suggests the possibility to approximate the damaged data, which have been processed by the error correction scheme. The proposed method works on the real‐time distributed system which retransmission is considered as unsuitable solution to manage the overall networked system. By using the Bézier curve, the transmitted unrecoverable data are reconstructed again by using the functional approximation. This method provides a smoothing effect on damaged data that usually are normalised on real‐time transmission of PROFIBUS. Three differences Bézier curve methods are compared in PROFIBUS data, four‐points (FP) method, two‐points two‐degrees method and four‐degrees (FD) method. Simulation results show that all three Bézier curve methods can approximate data in PROFIBUS. FD has higher computation complexity compared with others. However, FD compensates with its data size which is only half of FP method.