DOI QR코드

DOI QR Code

Transmission Performance of Video Traffic on Underwater MANET

수중 MANET에서 비디오 트래픽의 전송성능

  • Kim, Young-Dong (Dept. of Electric Railway Convergence Science, Dongyang University)
  • 김영동 (동양대학교 철도전기융합학과)
  • Received : 2018.10.22
  • Accepted : 2019.02.15
  • Published : 2019.02.28

Abstract

Since the underwater communication environment, which is used mainly in acoustic channel, is different from terestrial communication, it needs to analyze the appropriate transmission performance in underwater environment to implement the communication services. Appropriate traffic process method for a communication service is required through transmission performance of object traffic for the communication service. In this paper, transmission performance of video traffic on underwater MANET(Mobile Ad-hoc Network) is analyzed and video traffic configuration scheme on underwater MANET with results of performance analysis is suggested, This study is done with computer simulation based on NS(Network Simulator)-3. throughput, transmission delay, packet loss rate is used for transmission performance.

음향채널을 주로 사용하는 수중통신환경은 지상통신환경과 달라 통신 서비스를 구축함에 있어 수중환경에 적합하게 전송성능을 분석하는 것이 필요하며, 통신망의 일반적 성능 뿐 아니라 통신 서비스별 전송 대상 트래픽의 전송성능을 분석하여 통신서비스에 적절한 트래픽처리 방안의 강구가 요구된다. 본 연구에서는 수중 MANET(Mobile Ad-hoc Network)에서 비디오 트래픽의 전송 성능을 분석하고 이 결과를 토대로 비디오 트래픽 전송 방안을 제시한다. 본 연구는 NS(Network Simulator)-3에 기반한 컴퓨터 시뮬레이션을 이용하여 수행하며, 전송 성능으로는 처리율, 전송지연, 패킷손실율을 사용한다.

Keywords

KCTSAD_2019_v14n1_49_f0001.png 이미지

그림 1. 수중통신공간[5] Fig. 1 Underwater communication space[5]

KCTSAD_2019_v14n1_49_f0002.png 이미지

그림 2. 상대처리율 Fig. 2 Relative throughputs

KCTSAD_2019_v14n1_49_f0003.png 이미지

그림 3. 평균상대처리율 Fig. 3 Mean relative throughputs

KCTSAD_2019_v14n1_49_f0004.png 이미지

그림 4. 전송지연 Fig. 4 Transmission delay

KCTSAD_2019_v14n1_49_f0005.png 이미지

그림 5. 평균전송지연 Fig. 5 Mean transmission delay

KCTSAD_2019_v14n1_49_f0006.png 이미지

그림 6. 패킷손실율 Fig. 6 Packet loss rate

KCTSAD_2019_v14n1_49_f0007.png 이미지

그림 7. 평균 패킷손실율 Fig. 7 Mean packet loss rate

KCTSAD_2019_v14n1_49_f0008.png 이미지

그림 8. 채널 이용율 Fig. 8 Channel utilization

표 1. 시뮬레이션 파라미터 Table 1. Simulation parameters

KCTSAD_2019_v14n1_49_t0001.png 이미지

표 2. 비디오 트래픽 파라미터 Table 2. Video traffic parameters

KCTSAD_2019_v14n1_49_t0002.png 이미지

References

  1. J. Partan, J. Kurose, and B. Levine, "A Survey of Practical Issues in Underwater Networks," In Proc. the 1st ACM Int. Workshop on Underwater Networks, Los Angels, USA, Sept. 2006, pp. 17-24.
  2. A. Stefanov and M. Stojanovic, "Performance of Underwater Ad-Hoc Networks," In Proc. IEEE Vehicular Technology Conference (VTC 2010)-Fall, Ottawa, Canada, Sept. 2010, pp. 1-5.
  3. C. Gussen, P. Diniz, M.Campos, W. Martins, F. Costa, and J. Gois, "A Survey of Underwater Wireless Communication Technologies," J. of Communication and Information Systems, vol. 31, no. 1, 2016. pp. 242-255. https://doi.org/10.14209/jcis.2016.22
  4. Y. Kim, "Transmission Performance of MANET on 3D Underwater Communication Environments," J. of the Korea Institute of Electronic Communication Sciences, vol. 12, no. 6, 2017, pp. 997-1002. https://doi.org/10.13067/JKIECS.2017.12.6.997
  5. I. Akyildiz, D. Pompili, and T. Melodia, "Challenges for Efficient Communication in Underwater Acoustic Sensor Networks," ACM Special Interest Group on Embedded review, vol. 1, issue 2, July 2004, pp. 3-8.
  6. Y. Kim, "Transmission Performance of VoIP Traffics on Underwater MANET," J. of the Korea Institute of Electronic Communication Sciences, vol. 11, no. 12, Dec. 2016, pp. 1187-1192. https://doi.org/10.13067/JKIECS.2016.11.12.1187
  7. A. Sehgal, I. Tuma, and J. Schonwalder, "AquaTools : An Underwater Acoustic Networking Simulation Toolkits," In Proc. IEEE Oceans Conf., Sydney, Australia, May 2010, pp. 1-10.
  8. Y. Kim, "Transmission of Multimedia Traffic over Mobile Ad-hoc Networks," J. of the Korea Institute of Information and Communication Engineering, vol. 9, no. 1, Feb. 2005, pp. 95-101.
  9. W. Campo-Munoz, E. Astaiza-Hoyos, and L. Munoz-Sanabria, "Traffice modelling of video-on-demand service through NS-3," J. of DYNA, vol. 84, no. 202, Sept. 2017, pp. 55-64.
  10. W. Campo Munoz, H. Bermudez, and E. Hoyos, "Characterization of traffic of video streaming service based on lexical analyzers," J. of Ingeniare, vol. 26, no. 3, Jan. 2018, pp. 448-458.