KIPS Transactions on Computer and Communication Systems (정보처리학회논문지:컴퓨터 및 통신 시스템)

Korea Information Processing Society (한국정보처리학회)
권호 표지
DOI QR코드

DOI QR Code

Algorithm of Holding Time Control Using Delay-Tolerant Packet for Energy-Efficient Transmission

에너지 효율적인 전송을 위한 지연 허용 패킷의 유지시간 제어 알고리즘

  • Received : 2016.04.05
  • Accepted : 2016.04.19
  • Published : 2016.04.30
Download PDF
⟨ Previous Next ⟩

Abstract

This paper proposes an energy transmission method to maximize energy efficiency of a based station. This method makes use of classification of service type to solve an inefficient use of transmission power, which is from exponential relationship between the legacy data throughput and transmission power. The proposed one is a way to find the most energy-efficiency points with the transmitted optimal amount of data on users in a base station of wireless network environment. For this, we propose EETA (Energy-Efficient Transmission Algorithm) which can control the amount of data and the holding time at the base station. As a result, the proposed method can improve the energy efficiency of about 10% compared to the legacy base station.

제안된 논문은 기지국의 에너지 효율을 최대화하기 위한 에너지 전송 방식에 관한 것으로, 기존의 데이터 처리량과 송신전력 사이의 지수 함수적 관계에 따른 비효율적 문제를 해결함으로써 서비스의 유형에 따른 데이터를 분류하고, 무선 네트워크 환경의 기지국에서 사용자 들에게 전송 되는 최적의 데이터 량에 따른 에너지 최적화 지점을 찾아내는 방법이다. 이를 위해, 기지국에서 사용자에게 전송되는 데이터의 양 및 유지시간을 조절하여 데이터 전송의 에너지 효율 최적화 지점을 찾을 수 있는 EETA 알고리즘(Energy-Efficient Transmission Algorithm)을 제안한다. 결과적으로 제안한 방식은 기존 기지국 대비 에너지 효율이 약 10% 향상됨을 알 수 있다.

Keywords

References

  1. V. Coroama and L. M. Hilty, "Energy consumed vs. energy saved by ict-a closer look," Proc. EnviroInfo, pp.353-361, 2009.
  2. D. G. Yun, H. J. Kim, and S. G. Choi, "The delay-guaranteed mechanism for providing real-time service in intergrated architecture of epon and wimax," ICT Convergence (ICTC), 2011 International Conference on, IEEE, pp.614-615, 2011.
  3. J. Lee, B. C. Yeo, J. S. Kim, M. S. Jang, and J. K. Choi, "Energy efficient scalable video coding based cooperative multicast scheme with selective layer forwarding," Communications Letters, IEEE, Vol.17, No.6, pp.1116-1119, 2013. https://doi.org/10.1109/LCOMM.2013.050313.130062
  4. J. Louhi, "Energy efficiency of modern cellular base stations," Telecommunications Energy Conference, 2007. INTELEC 2007. 29th International, IEEE, pp.475-476, 2007.
  5. J. Chang, Z. Abichar, and C. Y. Hsu, "Wimax or lte: Who will lead the broadband mobile internet?" IT Professional, Vol.12, No.3, pp.26-32, 2010. https://doi.org/10.1109/MITP.2010.47
  6. R. Wang, J. S. Thompson, H. Haas, and P. M. Grant, "Sleep mode design for green base stations," Communications, IET, Vol.5, No.18, pp.2606-2616, 2011. https://doi.org/10.1049/iet-com.2011.0104
  7. L. M. Correia, D. Zeller, O. Blume, D. Ferling, Y. Jading, I. Godor, G. Auer, and L. Van Der Perre, "Challenges and enabling technologies for energy aware mobile radionetworks," Communications Magazine, IEEE, Vol.48, No.11, pp.66-72, 2010.
  8. Z. Hasan, H. Boostanimehr, and V. K. Bhargava, "Green cellular networks: A survey, some research issues and challenges," Communications Surveys & Tutorials, IEEE, Vol.13, No.4, pp.524-540, 2011. https://doi.org/10.1109/SURV.2011.092311.00031
  9. L. Schmelz, J. Van Den Berg, R. Litjens, K. Zetterberg, M. Amirijoo, K. Spaey, I. Balan, N. Scully, and S. Stefanski, "Self-organisation in wireless networks-use cases and their interrelation," Wireless World Res. Forum Meeting, pp.1-5, 2009.
  10. Z. Niu, Y. Wu, J. Gong, and Z. Yang, "Cell zooming for cost-efficient green cellular networks," Communications Magazine, IEEE, Vol.48, No.11, pp.74-79, 2010.
  11. M. Wildemeersch, T. Quek, C. Slump, and A. Rabbachin, "Cognitive small cell networks: energy efficiency and trade-offs," Communications, IEEE, Vol.61, No.9, pp.4016-4029, 2013. https://doi.org/10.1109/TCOMM.2013.072213.120588
  12. R. Gupta and E.C. Strinati, "Base station duty cycling and traffic buffering as a means to achieve green communications," Vehicular Technology Conference (VTC Fall), 2012 IEEE, pp.1-6, 2012.
  13. S. Yang, X. Li, and T. F. Ngai, "Diadem: Prefetch-based traffic shaping for energy saving in wireless networks," Proceedings of the 2011 IEEE/ACMInternational Conference on Green Computing and Communications, pp.114-119, IEEE Computer Society, 2011.
  14. A. Cenedese, M. Michielan, F. Tramarin, and S. Vitturi, "An energy efficient traffic shaping algorithm for ethernet based multimedia industrial traffic," Emerging Technology and Factory Automation (ETFA), 2014 IEEE, pp.1-4, 2014.
  15. M. Hoque, M. Siekkinen, J. K. Nurminen, et al., "On the energy efficiency of proxy-based traffic shaping for mobile audio streaming," Consumer Communications and Networking Conference (CCNC), 2011 IEEE, pp.891-895, 2011.
  16. W. S. Choi, Y. Lee, and S. G. Choi, "Energy-efficient l2 transmission scheme in ieee 802.11 wlan," Communications Letters, IEEE, Vol.19, No.3, pp.455-458, 2015. https://doi.org/10.1109/LCOMM.2015.2393855
  17. ITU-T, "End-user multimedia qos categories," 2001.
  18. L. L. Peterson and B. S. Davie, Computer Networks: a systems approach 5th ed., MorganKaufmann, 2011.
  19. Xin Li, Hao Wang, Nan Liu, and Xiaohu You, "Dynamic user association for energy minimization in macro-relay network," Wireless Communications & Signal Processing (WCSP), 2012 IEEE, pp.1-5, 2012.
  20. ITU-T, "Energy efficiency metrics and measurement methods for telecommunication equipment," 2012.
  21. A. Ambrosy, M. Wilhelm, W. Wajda, and O. Blume, "Dynamic bandwidth management for energy savings in wireless base stations," Global Communications Conference (GLOBECOM), 2012 IEEE, pp.3502-3507, 2012.
  22. B. Don, "Global internet phenomena report," tech. rep., Sandvine, 2011.