디지털콘텐츠학회 논문지 (Journal of Digital Contents Society)

  • 제16권6호
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  • Pages.917-925
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  • 2015
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  • 1598-2009(pISSN)
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  • 2287-738X(eISSN)
한국디지털콘텐츠학회 (Digital Contents Society)
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퍼지이론과 예증을 이용한 WebRTC환경의 로컬 네트워크 속도 조정

Adjusting Local Network Speed by Using Fuzzy Theory with An Illustration in WebRTC Environment

  • Van, Linh Ma (School of Electronics & Computer Engineering, Chonnam National University) ;
  • Jang, Jong-hyun (Electronics and Telecommunications Research Institute) ;
  • Kim, Jinsul (School of Electronics & Computer Engineering, Chonnam National University)
  • 투고 : 2015.11.30
  • 심사 : 2015.12.30
  • 발행 : 2015.12.31
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⟨ 이전 논문 다음 논문 ⟩

초록

WebRTC는 내부 및 외부 플러그인 없이 브라우저간의 음성 전화, 비디오 채팅, 및 p2p파일 공유를 지원하는 최신 기술 중 하나이다. 그러나 아직 다뤄져야 할 많은 문제가 있다. 이 논문에서는 그 중 대역폭 이라는 작은 필드에 초점을 맞췄다. 다운로드 및 업로드를 위한 대역폭은 서비스 제공자에 의해 고정되어있지만, 특정 지역에 있는 사용자의 수는 시간에 따라 크게 증가되고 있다. 본 논문에서는 대여폭의 한계를 극복하기 위하여 퍼지 컨트롤을 기반으로 클라이언트 자체에서 프레임 비율 및 스트리밍 비디오의 해상도 변경하는 모델을 제안한다.

WebRTC is one of the most recent technologies that supports browser-to-browser for voice calling, video chat, and P2P file sharing without the need of either internal or external plugins. However, there has some limitation which lets our development deal with many problems. This research will focus just on a small field of that problem which is bandwidth. While the bandwidth for downloading and uploading is fixed by service providers, but the number of users in a certain area is increasing largely by the time. In this paper, we propose a model to overcome the limitation of the bandwidth based on fuzzy control to adjust utilized bandwidth by changing frame rate and resolution of streaming video in the client itself.

키워드

참고문헌

  1. Singh, Varun, Albert Abello Lozano, and Johannes Ott. "Performance analysis of receive-side real-time congestion control for WebRTC," In Packet Video Workshop (PV), 2013 20th International, IEEE, pp.1-8, Dec 2013.
  2. Rhinow, Florian, Pablo Porto Veloso, Carlos Puyelo, Samuel Barrett, and Eamonn O. Nuallain. "P2P live video streaming in WebRTC," In Computer Applications and Information Systems (WCCAIS), 2014 World Congress, pp.1-6. Jan 2014.
  3. Ng, Kwok-Fai, Man-Yan Ching, Yang Liu, Tao Cai, Li Li, and Wu Chou. "A P2P-MCU Approach to Multi-Party Video Conference with WebRTC," International Journal of Future Computer and Communication, Vol.3, No.5, pp.319, October 2014. https://doi.org/10.7763/IJFCC.2014.V3.319
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  6. Guduru, Kiran Kumar, and Sachin Dev, "Web RTC Implementation Analysis and Impact of Bundle Feature," In Communication Systems and Network Technologies (CSNT), 2015 Fifth International Conference, pp.1109-1113. Jul 2015.
  7. Liao, Hongwei, Ling Tie, and Zhao Du. "A vertical handover decision algorithm based on fuzzy control theory," In Computer and Computational Sciences, 2006. IMSCCS'06. First International Multi-Symposiums, vol.2, pp.309-313, Jun 2006.
  8. Liang, Qilian, Nilesh N. Karnik, and Jerry M. Mendel. "Connection admission control in ATM networks using survey-based type-2 fuzzy logic systems," Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions, Vol.30, No.3, pp.329-339, Aug 2000. https://doi.org/10.1109/5326.885114
  9. Chen, Zhijia, Yuanchang Zhu, Yanqiang Di, and Shaochong Feng. "A dynamic resource scheduling method based on fuzzy control theory in cloud environment," Journal of Control Science and Engineering, Vol. 2015, pp.34-44, Jan 2015.
  10. Vogt, Christian, Max Jonas Werner, and Thomas C. Schmidt. "Leveraging WebRTC for P2P content distribution in web browsers," In Network Protocols (ICNP), 2013 21st IEEE International Conference,, pp.1-2, Oct 2013.
  11. Massoulie, Laurent, and James W. Roberts. "Bandwidth sharing and admission control for elastic traffic," Telecommunication systems, Vol.15, pp.185-201, 2000. https://doi.org/10.1023/A:1019138827659
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피인용 문헌

  1. A Dynamical Load Balancing Method for Data Streaming and User Request in WebRTC Environment vol.17, pp.6, 2016, https://doi.org/10.9728/dcs.2016.17.6.581
  2. Fuzzy Decision Making-based Recommendation Channel System using the Social Network Database vol.17, pp.5, 2015, https://doi.org/10.9728/dcs.2016.17.5.307
  3. A Fuzzy-based Dynamic Method for Efficient Sharing Bandwidth in Local Physical Network vol.18, pp.2, 2015, https://doi.org/10.9728/dcs.2017.18.2.411