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Performance Analysis of (255, 239) Reed Solomon Code for Efficient Knowledge-based Systems in Ubiquitous Environment
Wonshik Na1, Jae-Yeon Choi2

1Wonshik Na, Professor, Department of Computer Science, Namseoul University, Daehak-Ro, Seonghwan-Eup, Seobuk-Gu, Cheonan, Chungcheongnam-Do, Republic of Korea, East Asian.

2Jae-Yeon Choi, Corresponding author, Professor, Department of Information and Communication Engineering, Namseoul University, Daehak-Ro, Seonghwan-Eup, Seobuk-Gu, Cheonan, Chungcheongnam-Do, Republic of Korea, East Asian.

Manuscript received on 10 June 2019 | Revised Manuscript received on 17 June 2019 | Manuscript Published on 22 June 2019 | PP: 922-925 | Volume-8 Issue-8S2 June 2019 | Retrieval Number: H11560688S219/19©BEIESP

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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The Reed-Solomon code is used for the error correction with a wide range of applications in wireless digital communication and data storage system. This paper analyzes the performance of (255, 239) Reed-Solomon code, and evaluates its performance in the environment of additive white Gaussian channel. The performance is estimated in bit error rate and signal energy to noise ratio. (255, 239) Reed Solomon code can be applicable to the efficient knowledge-based system as well as the smart communication system. We design a bit-serial Reed Solomon encoder that operates in parallel on a polynomial basis, using a polynomial divider and a bit serial multiplier with adder located outside the shift register. Also, we apply it to the Reed Solomon code for (255, 239) and the encoder is designed. This paper is aimed to evaluate the performance of Reed Solomon code over the noisy communication channel. As the code length increases with similar error correcting capability, the performance of bit error rate improves and redundancy of the code also increases.

Keywords: Reed-Solomon Code, Knowledge-Based, RS Encoder, Knowledge Systems.
Scope of the Article: Knowledge Systems and Engineering