Towards End-User Driven Power Saving Control in Android Devices

  • Vitor Bernardo
  • Bruno Correia
  • Marilia Curado
  • Torsten Ingo Braun
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8638)

Abstract

During the last decade mobile communications increasingly became part of people’s daily routine. Such usage raises new challenges regarding devices’ battery lifetime management when using most popular wireless access technologies, such as IEEE 802.11. This paper investigates the energy/delay trade-off of using an end-user driven power saving approach, when compared with the standard IEEE 802.11 power saving algorithms. The assessment was conducted in a real testbed using an Android mobile phone and high-precision energy measurement hardware. The results show clear energy benefits of employing user-driven power saving techniques, when compared with other standard approaches.

Keywords

Energy Efficiency Power Saving IEEE 802.11 Android Testbed 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    IEEE: IEEE std 802.11-2012 (revision of ieee std 802.11-2007), 1–2793 (2012)Google Scholar
  2. 2.
    Costa-Pérez, X., Festag, A., Kolbe, H.J., Quittek, J., Schmid, S., Stiemerling, M., Swetina, J., van der Veen, H.: Latest trends in telecommunication standards. SIGCOMM Comput. Commun. Rev. 43(2), 64–71 (2013)CrossRefGoogle Scholar
  3. 3.
    Android Open Source Project: Android open-soruce software stack (2014)Google Scholar
  4. 4.
    Tsao, S.L., Huang, C.H.: A survey of energy efficient MAC protocols for IEEE 802.11 {WLAN}. Computer Communications 34(1), 54–67 (2011)CrossRefGoogle Scholar
  5. 5.
    Pyles, A.J., Qi, X., Zhou, G., Keally, M., Liu, X.: SAPSM: smart adaptive 802.11 PSM for smartphones. In: Proceedings of the 2012 ACM Conference on Ubiquitous Computing, UbiComp 2012, pp. 11–20. ACM, New York (2012)CrossRefGoogle Scholar
  6. 6.
    Pyles, A.J., Ren, Z., Zhou, G., Liu, X.: Sifi: Exploiting voip silence for wifi energy savings insmart phones. In: Proceedings of the 13th International Conference on Ubiquitous Computing, UbiComp 2011, pp. 325–334. ACM, New York (2011)Google Scholar
  7. 7.
    Csernai, M., Gulyas, A.: Wireless adapter sleep scheduling based on video qoe: How to improve battery life when watching streaming video? In: ICCCN 2011, pp. 1–6 (July 2011)Google Scholar
  8. 8.
    Bernardo, V., Curado, M., Braun, T.: An IEEE 802.11 energy efficient mechanism for continuous media applications. Sustainable Computing: Informatics and Systems 4(2), 106–117 (2014)Google Scholar
  9. 9.
    Korhonen, J., Wang, Y.: Power-efficient streaming for mobile terminals. In: Proceedings of the International Workshop on Network and Operating Systems Support for Digital Audio and Video, NOSSDAV 2005, pp. 39–44. ACM (2005)Google Scholar
  10. 10.
    Ding, N., Pathak, A., Koutsonikolas, D., Shepard, C., Hu, Y., Zhong, L.: Realizing the full potential of psm using proxying. In: 2012 Proceedings IEEE INFOCOM, pp. 2821–2825 (March 2012)Google Scholar
  11. 11.
    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 2010, pp. 107–122. ACM, New York (2010)Google Scholar
  12. 12.
    Cui, Y., Ma, X., Wang, H., Stojmenovic, I., Liu, J.: A survey of energy efficient wireless transmission and modeling in mobile cloud computing. Mobile Networks and Applications 18(1), 148–155 (2013)CrossRefGoogle Scholar
  13. 13.
    Amuhong: IEEE 802.11 architecture in Android (2014)Google Scholar
  14. 14.
    Botta, A., Dainotti, A., Pescapè, A.: A tool for the generation of realistic network workload for emerging networking scenarios. Computer Networks 56(15) (2012)Google Scholar
  15. 15.
    Bernardo, V., Curado, M., Staub, T., Braun, T.: Towards energy consumption measurement in a cloud computing wireless testbed. In: International Symposium on Network Cloud Computing and Applications (NCCA), pp. 91–98 (2011)Google Scholar
  16. 16.
    Rice, A., Hay, S.: Measuring mobile phone energy consumption for 802.11 wireless networking. Pervasive Mob. Comput. 6(6), 593–606 (2010)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Vitor Bernardo
    • 1
  • Bruno Correia
    • 1
  • Marilia Curado
    • 1
  • Torsten Ingo Braun
    • 2
  1. 1.Center for Informatics and SystemsUniversity of Coimbra, CoimbraPortugal
  2. 2.Institute for Computer Science and Applied MathematicsUniversity of BernBernSwitzerland

Personalised recommendations