Ekhiotz Jon Vergara
ABSTRACT
The massive explosion of mobile applications with the ensuing data exchange over the cellular infrastructure is not only a blessing to the mobile user but also has a price in terms of regular discharging of the device battery. A big contributor to this energy consumption is the power hungry wireless network interface. We leverage a measurement kit to perform accurate physical energy consumption measurements in a third generation (3G) telecommunication modem thus isolating the energy footprint of data transfers as opposed to other mobile phone-based measurement studies. Using the measurement kit we show how the statically configured network parameters, i.e., channel switch timers, and buffer thresholds, in addition to the transfer data pattern and the radio coverage, impact the communication energy footprint. We then demonstrate that being aware of static network parameters creates room for energy savings. This is done by devising a set of algorithms that (a) infer the network parameters efficiently, and (b) use the parameters in a new packet scheduler in the device. The combined regime is shown to transfer background uplink data, from real world traces of Facebook and Skype, with significant energy saving compared to the state-of-the-art.
- T. Armstrong, O. Trescases, C. Amza, and E. de Lara. Efficient and transparent dynamic content updates for mobile clients. In Proc. of the 4th international conference on Mobile systems, applications and services, MobiSys '06, 2006. Google Scholar
Digital Library
- M. Asplund, A. Thomasson, E. J. Vergara, and S. Nadjm-Tehrani. Software-related energy footprint of a wireless broadband module. In Proc. of the 9th ACM international symposium on Mobility management and wireless access, MobiWac '11, 2011. Google ScholarDigital Library
- N. Balasubramanian, A. Balasubramanian, and A. Venkataramani. Energy Consumption in Mobile Phones: A Measurement Study and Implications for Network Applications. In Proc. of Internet Measurement Conference, IMC 2009. Google ScholarDigital Library
- M. Calder and M. Marina. Batch scheduling of recurrent applications for energy savings on mobile phones. In 7th Annual IEEE Communications Society Conference on Sensor Mesh and Ad Hoc Communications and Networks, SECON 2010.Google ScholarCross Ref
- I. Humar, X. Ge, L. Xiang, M. Jo, M. Chen, and J. Zhang. Rethinking energy efficiency models of cellular networks with embodied energy. IEEE Network, 25(2):40--49, 2011. Google ScholarDigital Library
- V. Könönen and P. Paakkonen. Optimizing power consumption of always-on applications based on timer alignment. In 3th International Conference on Communication Systems and Networks, COMSNETS 2011.Google Scholar
- H. Lagar-cavilla, K. Joshi, A. Varshavsky, J. Bickford, and D. Parra. Traffic Backfilling: Subsidizing Lunch for Delay-Tolerant Applications in UMTS Networks. In ACM MobiHeld, 2011. Google ScholarDigital Library
- H. Liu, Y. Zhang, and Y. Zhou. Tailtheft: leveraging the wasted time for saving energy in cellular communications. In Proc. of the sixth international workshop on MobiArch, MobiArch 2011. Google ScholarDigital Library
- L. Feeney and M. Nilsson. Investigating the energy consumption of a wireless network interface in an ad hoc networking environment. In Proc. Annual IEEE International Conference on Computer Communications, INFOCOM 2001.Google ScholarCross Ref
- M. Marsan, L. Chiaraviglio, D. Ciullo, and M. Meo. Optimal energy savings in cellular access networks. In IEEE International Conference on Communications, (ICC Workshops) 2009.Google Scholar
- Z. Niu, Y. Wu, J. Gong, and Z. Yang. Cell zooming for cost-efficient green cellular networks. IEEE Communications Magazine, 48(11):74--79, 2010. Google ScholarDigital Library
- G. Perrucci, F. Fitzek, G. Sasso, and M. Katz. Energy Saving Strategies for Mobile Devices using Wake-up Signals. In 4th International Mobile Multimedia Communications Conference, MobiMedia 2008.Google ScholarCross Ref
- G. P. Perrucci, F. Fitzek, G. Sasso, W. Kellerer, and J. Widmer. On the impact of 2G and 3G network usage for mobile phones' battery life. In European Wireless, 2009.Google ScholarCross Ref
- RLC protocol. 3gpp specification 25.322. http://www.3gpp.org/ftp/Specs/html-info/25322.htmGoogle Scholar
- I. Puustinen and J. Nurminen. The effect of unwanted internet traffic on cellular phone energy consumption. In International Conference on New Technologies, Mobility and Security, NTMS 2011.Google ScholarCross Ref
- F. Qian, Z. Wang, A. Gerber, Z. Mao, S. Sen, and O. Spatscheck. Top: Tail optimization protocol for cellular radio resource allocation. In 18th IEEE International Conference on Network Protocols, ICNP 2010. Google ScholarDigital Library
- F. Qian, Z. Wang, A. Gerber, Z. Mao, S. Sen, and O. Spatscheck. Profiling resource usage for mobile applications: a cross-layer approach. In Proc. of the 9th international conference on Mobile systems, applications, and services, MobiSys 2011. Google ScholarDigital Library
- F. Qian, Z. Wang, A. Gerber, Z. M. Mao, S. Sen, and O. Spatscheck. Characterizing radio resource allocation for 3g networks. In Proc. of the 10th annual conference on Internet measurement, IMC 2010. Google ScholarDigital Library
- A. Rice and S. Hay. Measuring mobile phone energy consumption for 802.11 wireless networking. Pervasive Mob. Comput., 6:593--606, 2010. Google ScholarDigital Library
- A. Schulman, V. Navda, R. Ramjee, N. Spring, P. Deshpande, C. Grunewald, K. Jain, and V. N. Padmanabhan. Bartendr: a practical approach to energy-aware cellular data scheduling. In Proc. of the sixteenth annual international conference on Mobile computing and networking, MobiCom 2010. Google ScholarDigital Library
- A. Sharma, V. Navda, R. Ramjee, V. N. Padmanabhan, and E. M. Belding. Cool-tether: energy efficient on-the-fly wifi hot-spots using mobile phones. In Proc. of the 5th international conference on Emerging networking experiments and technologies, CoNEXT 2009. Google ScholarDigital Library
- E. J. Vergara, S. Nadjm-Tehrani, M. Asplund, and U. Zurutuza. Resource footprint of a manycast protocol implementation on multiple mobile platforms. In Proc. of 5th International Conference on Next Generation Mobile Applications, Services and Technologies, NGMAST 2011. Google ScholarDigital Library
- L. Wang and J. Manner. Evaluation of data compression for energy-aware communication in mobile networks. In International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2009.Google ScholarCross Ref
- L. Wang and J. Manner. Energy consumption analysis of wlan, 2g and 3g interfaces. In Proc. of the 2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l Conference on Cyber, Physical and Social Computing, GREENCOM-CPSCOM 2010. Google ScholarDigital Library
- Y. Xiao, R. Kalyanaraman, and A. Yla-Jaaski. Energy consumption of mobile youtube: Quantitative measurement and analysis. In Proc. of 2nd International Conference on Next Generation Mobile Applications, Services and Technologies, NGMAST 2008. Google ScholarDigital Library
Index Terms
- Energy-aware cross-layer burst buffering for wireless communication
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