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Sleeping mobile AP: a novel energy efficient Wifi tethering scheme

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Abstract

Wifi tethering enables Wifi-only devices to access the Internet by sharing the WWAN (e.g., 3G and LTE) connection of a smartphone where there is no available Wifi access point. However, the current tethering schemes have a limitation as they consume a significant portion of the battery power for providing Wifi clients with the Internet connection. In this paper, we propose a new tethering scheme that reduces the energy consumption of a mobile AP (MAP) without substantial throughput and delay degradation. To improve energy efficiency, the proposed scheme adaptively adjusts the sleep and wake-up periods based on the bandwidth asymmetric feature of the MAP. Further, it provides a longer idle time enough to put the clients into a sleep mode by combining idle periods between subsequent packets, and conserves their energy as well. Our evaluation based on the prototype implementation on commercial smartphones shows that the proposed scheme reduces the energy consumption of the MAP and the client smartphones by up to 56.0 and 8.3 %, respectively.

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Notes

  1. According to a market research [1], 90 % of customers actually prefer Wifi-only devices over the 3G/LTE versions although the coverage of cellular and Wifi networks is 99 versus 49 %, respectively, in the US [2, 3].

  2. The available bandwidth of cellular links could be different depending on network service providers and locations.

  3. TIT threshold of a MAP should be larger than the maximum backoff period to receive the clients’ uplink packets in a conservative manner.

References

  1. Chetan Sharma Consulting. http://www.chetansharma.com/.

  2. Yetim, O. B., & Martonosi, M. (2012). Adaptive usage of cellular and WiFi bandwidth: An optimal scheduling formulation. In CHANTS, 2012.

  3. Rahmati, A., & Zhong, L. (2007). Context-for-wireless: Context-sensitive energy-efficient wireless data transfer. In ACM MobiSys 2007.

  4. Apple Ios. https://developer.apple.com/technologies/ios/.

  5. Windows Phone. www.windowsphone.com/.

  6. Android Phone. http://www.android.com/.

  7. Han, H., Liu, Y, Shen, G., Zhang, Y., & Li, Q. (2012). DozyAP: Power-efficient Wi-Fi tethering. In ACM MobiSys, 2012.

  8. Monsoon Solutions Inc. http://www.msoon.com/LabEquipment/PowerMonitor/.

  9. IEEE 802.11, Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications, Standard, IEEE, Aug. 1999.

  10. Namboodiri, V., & Gao, L. (2010). Energy-efficient VoIP over wireless LANs. IEEE TMC, 9(4), 566–581.

    Google Scholar 

  11. Bonfiglio, D., Mellia, M. Meo, M., Rossi, D., & Tofanelli, P. (2007). Revealing Skype traffic: When randomness plays with you. In ACM SIGCOMM, 2007.

  12. Wang, X., Chen, S., & Jajodia, S. (2005). Tracking anonymous peer-to-peer VoIP calls on the Internet. In ACM CCS, 2005.

  13. Li, B., Ma, M., & Jin, Z. (2010). A VoIP traffic identification scheme based on host and flow behavior analysis. Journal of Network and Systems Management, 19(1), 111–129.

  14. Bianchi, G. (2010). Performance analysis of the IEEE 802.11 distributed coordination function. IEEE JSAC, 18(3), 535–547.

    Google Scholar 

  15. Rozner, E., Navda, V., Ramjee, R., & Rayanchu, S. (2010). NAPman: Network-assisted power management for WiFi Devices. In ACM MobySys, 2010.

  16. Yang, S.-R., & Lin, Y.-B. (2005). Modeling UMTS discontinuous reception mechanism. IEEE TWC, 4(1), 312–319.

  17. Daigle, J. N. (1992). Queueing theory for telecommunications. Reading, MA: Addison-Wesley.

  18. Takagi, H. (1991). Queueing analysis: Vol. 1, vacation and priority systems. North Holland, Amsterdam.

  19. Heidemann, D. (1994). Queue length and delay distributions at traffic signals. Transportation Research Part B, 28(5), 377–389.

  20. Broadcom, BCM4330. http://www.broadcom.com/.

  21. http://bcmon.blogspot.com/.

  22. Shepard, C., Rahmati, A., Tossell, C., Zhong, L., & Kortum, P. (2010). LiveLab: measuring wireless networks and smartphone users in the field. In ACM SIGMETRICS performance evaluation review, December 2010.

  23. Tan, E., Guo, L., Chen, S., & Zhang, X. (2007). PSM-throttling: Minimizing energy consumption for bulk data communications in WLANs. In ICNP, 2007.

  24. Bertozzi, D., Benini, L., & Ricco, B. (2002). Power aware network interface management for streaming multimedia. In IEEE WCNC, 2002.

  25. Ding, N., Pathak, A., Koutsonikolas, D., Shepard, C., Hu, Y. C., & Zhong, L. (2012). Realizing the full potential of PSM using proxying. In IEEE Infocom, 2012.

  26. Armstrong, O. T, Amza, C., & deLara, E. (2006). Efficient and transparent dynamic content updates for mobile clients. In ACM MobiSys, 2006.

  27. Gupta, A., & Mohapatra, P. (2007). Energy consumption and conservation in WiFi based phones: A measurement-based study. In IEEE SECON, 2007.

  28. Xie, Y., Luo, X., & Chang, R. K. C. (2009). Centralized PSM: An AP-centric power saving mode for 802.11 infrastructure networks. In SARNOFF, 2009.

  29. Edmund, M., Nightingale, E., & Flinn, J. (2003). Self-tuning wireless network power management. In ACM MobiCom, 2003.

  30. Heand Y., & Yuan, R. (2009). A novel scheduled power saving mechanism for 802.11 Wireless LANs. In IEEE TMC, 2009.

  31. Manweiler, J., & Choudhury, R. R. (2011). Avoiding the rush hours: WiFi energy management via traffic isolation. In ACM MobySys, 2011.

  32. Krashinsky, R., & Balakrishnan, H. (2002). Miniminzing energy for wireless web access using bounded slowdown. In ACM MobiCom, 2002.

  33. Qiao, D., & Shin, K. (2005). Smart power-saving mode for IEEE 802.11 wireless LANs. In IEEE Infocom, 2005.

  34. Pyles, A. J., Ren, Z., Zhou, G., & Liu, X. (2011). SiFi: Exploiting VoIP silence for WiFi energy savings in smart phones. In UbiComp, 2011.

  35. Liu J., & Zhong, L. (2008). Micro power management of active 802.11 interfaces. In ACM MobiSys, 2008.

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Acknowledgments

This research was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2013R1A1A2065379).

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Authors and Affiliations

  1. Pohang, Korea

    Kyoung-Hak Jung, Jae-Pil Jeong & Young-Joo Suh

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  1. Kyoung-Hak Jung
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  2. Jae-Pil Jeong
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Correspondence to Kyoung-Hak Jung.

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Jung, KH., Jeong, JP. & Suh, YJ. Sleeping mobile AP: a novel energy efficient Wifi tethering scheme. Wireless Netw 21, 963–980 (2015). https://doi.org/10.1007/s11276-014-0798-7

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  • DOI: https://doi.org/10.1007/s11276-014-0798-7

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