Enhancing IEEE 802.11 Energy Efficiency for Continuous Media Applications

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8046)

Abstract

This paper proposes the Optimized Power save Algorithm for continuous Media Applications (OPAMA) to improve end-user device energy efficiency. OPAMA enhances the standard legacy Power Save Mode (PSM) of IEEE 802.11 by taking into consideration application specific requirements combined with data aggregation techniques. By establishing a balanced cost/benefit tradeoff between performance and energy consumption, OPAMA is able to improve energy efficiency, while keeping the end-user experience at a desired level. OPAMA was assessed in the OMNeT++ simulator using real traces of variable bitrate video streaming applications. The results showed the capability to enhance energy efficiency, achieving savings up to 44% when compared with the IEEE 802.11 legacy PSM.

Keywords

IEEE 802.11 Energy efficiency Power save mode 

References

  1. 1.
    Tozlu, S., Senel, M., Mao, W., Keshavarzian, A.: Wi-fi enabled sensors for internet of things: a practical approach. IEEE Commun. Mag. 50(6), 134–143 (2012)CrossRefGoogle Scholar
  2. 2.
    IEEE: ANSI/IEEE Std 802.11, 1999 Edition (r2003), i -513 (2003)Google Scholar
  3. 3.
    IEEE: IEEE std 802.11e-2005 (amendment to IEEE std 802.11-1999), 0–189 (2005)Google Scholar
  4. 4.
    IEEE: IEEE std 802.11n-2009 (amendment to IEEE std 802.11-2007), 1–565 (2009)Google Scholar
  5. 5.
    Camps-Mur, D., Gomony, M.D., Pérez-Costa, X., Sallent-Ribes, S.: Leveraging 802.11n frame aggregation to enhance qos and power consumption in wi-fi networks. Comput. Netw. 56(12), 2896–2911 (2012)CrossRefGoogle Scholar
  6. 6.
    Tan, E., Guo, L., Chen, S., Zhang, X.: Psm-throttling: minimizing energy consumption for bulk data communications in wlans. In: IEEE International Conference on Network Protocols, ICNP 2007, pp. 123–132, October 2007Google Scholar
  7. 7.
    Adams, J., Muntean, G.M.: Adaptive-buffer power save mechanism for mobile multimedia streaming. In: IEEE International Conference on Communications, ICC ’07, pp. 4548–4553, June 2007Google Scholar
  8. 8.
    Palit, R., Naik, K., Singh, A.: Impact of packet aggregation on energy consumption in smartphones. In: 2011 7th, International Wireless Communications and Mobile Computing Conference (IWCMC), pp. 589–594, July 2011Google Scholar
  9. 9.
    Skordoulis, D., Ni, Q., Chen, H.H., Stephens, A., Liu, C., Jamalipour, A.: IEEE 802.11n mac frame aggregation mechanisms for next-generation high-throughput wlans. IEEE Wirel. Commun. 15(1), 40–47 (2008)Google Scholar
  10. 10.
    Lorchat, J., Noel, T.: Reducing power consumption in IEEE 802.11 networks. In: IEEE International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob 2005), vol. 2, pp. 106–110, August 2005Google Scholar
  11. 11.
    Kennedy, M., Ksentini, A., Hadjadj-Aoul, Y., Muntean, G.M.: Adaptive energy optimization in multimedia-centric wireless devices: a survey. IEEE Commun. Surv. Tutorials PP(99), 1–19 (2012)Google Scholar
  12. 12.
    Pathak, A., Hu, Y.C., Zhang, M.: Where is the energy spent inside my app?: fine grained energy accounting on smartphones with eprof. In: Proceedings of the 7th ACM European Conference on Computer Systems. EuroSys ’12, pp. 29–42. ACM, New York (2012)Google Scholar
  13. 13.
    Naik, K.: A survey of software based energy saving methodologies for handheld wireless communication devices. Tech. Report No. 2010–13, Dept. of ECE, University of Waterloo (2010)Google Scholar
  14. 14.
    Dogar, F.R., Steenkiste, P., Papagiannaki, K.: Catnap: exploiting high bandwidth wireless interfaces to save energy for mobile devices. In: Proceedings of the 8th International Conference on Mobile Systems, Applications, and Services. MobiSys ’10, pp. 107–122. ACM, New York (2010)Google Scholar
  15. 15.
    Zhu, Y., Lu, H., Leung, V.: Access point buffer management for power saving in IEEE 802.11 wlans. IEEE Trans. Netw. Service Manag. 9(4), 473–486 (2012)CrossRefGoogle Scholar
  16. 16.
    Varga, A., Hornig, R.: An overview of the omnet++ simulation environment. In: Proceedings of the 1st International Conference on Simulation Tools and Techniques for Communications, Networks and Systems & Workshops. Simutools ’08, ICST, Brussels, Belgium, Belgium, ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering), pp. 60:1–60:10 (2008)Google Scholar
  17. 17.
    Van der Auwera, G., David, P., Reisslein, M.: Traffic and quality characterization of single-layer video streams encoded with the h.264/mpeg-4 advanced video coding standard and scalable video coding extension. IEEE Trans. Broadcast. 54(3), 698–718 (2008)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Center for Informatics and SystemsUniversity of CoimbraCoimbraPortugal
  2. 2.Institute for Computer Science and Applied MathematicsUniversity of BernBernSwitzerland

Personalised recommendations