Ahmad Rahmati
ABSTRACT
Ubiquitous connectivity on mobile devices will enable numerous new applications in healthcare and multimedia. We set out to check how close we are towards ubiquitous connectivity in our daily life. The findings from our recent field-collected data from an urban university population show that while network availability is decent, the energy cost of network interfaces poses a great challenge. Based on our findings, we propose to leverage the complementary strength of Wi-Fi and cellular networks by choosing wireless interfaces for data transfers based on network condition estimation. We show that an ideal selection policy can more than double the battery lifetime of a commercial mobile phone, and the improvement varies with data transfer patterns and Wi-Fi availability.
We formulate the selection of wireless interfaces as a statistical decision problem. The key to attaining the potential battery improvement is to accurately estimate Wi-Fi network conditions without powering up its network interface. We explore the use of different context information, including time, history, cellular network conditions, and device motion, for this purpose. We consequently devise algorithms that can effectively learn from context information and estimate the probability distribution of Wi-Fi network conditions. Simulations based on field-collected traces show that our algorithms can improve the average battery lifetime of a commercial mobile phone for a three-channel electrocardiogram (ECG) reporting application by 39%, very close to the theoretical upper bound of 42%. Finally, our field validation of our most simple algorithm demonstrates a 35% improvement in battery lifetime.
- Rice Orbit Platform, Rice Efficient Computing Group http://www.ruf.rice.edu/~mobile/orbit.Google Scholar
- Universal Access Report, GSM Association, 2006.Google Scholar
- Armstrong, T., Trescases, O., Amza, C. and Lara, E.d., Efficient and Transparent Dynamic Content Updates for Mobile Clients. in Proc. 4th Int. Conf. Mobile Systems, Applications and Services (MobiSys), (Uppsala, Sweden, 2006), 56--68. Google ScholarDigital Library
- Bharghavan, V. Challenges and Solutions to Adaptive Computing and Seamless Mobility over Heterogeneous Wireless Networks. Int. Journal on Wireless Personal Communications, 4 (2). 217--256. Google ScholarDigital Library
- Bouten, C.V.C., Koekkoek, K.T.M., Verduin, M., Kodde, R. and Janssen, J.D. A Triaxial Accelerometer and Portable Data Processing Unit for the Assessment of Daily Physical Activity. IEEE Trans. Biomedical Engineering, 44 (3). 136--147.Google ScholarCross Ref
- Buchman, I. Batteries in a Portable World: A Handbook on Rechargeable Batteries for Non-Engineers, Second Edition. Cadex Electronics Inc, 2001.Google Scholar
- Buddhikot, M.M., Chandranmenon, G., Han, S., Lee, Y.W. and Miller, S. Design and Implementation of a WLAN/CDMA2000 Interworking Architecture. IEEE Communications. 91. Google ScholarDigital Library
- Bychkovsky, V., Hull, B., Miu, A., Balakrishnan, H. and Madden, S., A Measurement Study of Vehicular Internet Access Using In Situ Wi-Fi Networks. in Proc. 12th Ann. Int. Conf. Mobile Computing and Networking (MobiCom), (Los Angeles, CA, 2006). Google ScholarDigital Library
- Chakraborty, S., Dong, Y., Yau, D.K.Y. and Lui, J.C.S. On the Effectiveness of MovementPrediction to Reduce Energy Consumption in Wireless Communication. IEEE Trans. Mobile Computing. Google ScholarDigital Library
- Chen, M.Y., Sohn, T., Chmelev, D., Haehnel, D., Hightower, J., Hughes, J., LaMarca, A., Potter, F., Smith, I. and Varshavsky, A., Practical Metropolitan-Scale Positioning for GSM Phones. in Proc. 7th Int. Conf. Ubiquitous Computing (UbiComp), (2006). Google ScholarDigital Library
- Chiasserini, C.F., Rao, R.R. and di Elettronica, D. Improving Energy Saving in Wireless Systems by Using Dynamic Power Management. IEEE Trans. Wireless Communications, 2 (5). 1090--1100. Google ScholarDigital Library
- Gustafsson, E. and Jonsson, A. Always Best Connected. IEEE Wireless Communications, 10 (1). 49--55. Google ScholarDigital Library
- Hamilton, P.S. and Tompkins, W.J., Estimation of Rate-Distortion Bounds for Compression of Ambulatory ECGs. in IEEE Ann. Int. Conf. Engineering in Medicine and Biology Society, (1989).Google Scholar
- Hastie, T., Tibshirani, R. and Friedman, J.H. The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Springer, 2001.Google Scholar
- Hightower, J., Consolvo, S., LaMarca, A., Smith, I. and Hughes, J., Learning and Recognizing the Places We Go. in Proc. 7th Int. Conf Ubiquitous Computing (UbiComp), (2005), 159--176. Google ScholarDigital Library
- LaMarca, A., Chawathe, Y., Consolvo, S., Hightower, J., Smith, I., Scott, J., Sohn, T., Howard, J., Hughes, J. and Potter, F., Place Lab: Device Positioning Using Radio Beacons in the Wild. in Proc. Pervasive, (2005). Google ScholarDigital Library
- Nicholson, A.J., Chawathe, Y., Chen, M.Y., Noble, B.D. and Wetherall, D., Improved Access Point Selection. in Proc. 4th Int. Conf. Mobile Systems, Applications and Services (MobiSys), (2006), 233--245. Google ScholarDigital Library
- Otsason, V., Varshavsky, A., LaMarca, A. and de Lara, E., Accurate GSM Indoor Localization. in Proc. 7th Int. Conf. Ubiquitous Computing (UbiComp), (2005). Google ScholarDigital Library
- Park, S. and Jayaraman, S. Enhancing the quality of life through wearable technology. IEEE Engineering in Medicine and Biology Mag., 22 (3). 41--48.Google Scholar
- Pering, T., Agarwal, Y., Gupta, R. and Want, R., CoolSpots: Reducing the Power Consumption of Wireless Mobile Devices with Multiple Radio Interfaces. in Proc. 4th Int. Conf. Mobile Systems, Applications and Services (MobiSys), (2006), 220--232. Google ScholarDigital Library
- Qadeer, W., Simunic, T., Ankcorn, J., Krishnan, V. and De Micheli, G., Heterogeneous Wireless Network Management. in Proc. Wksp. Power Aware Computer Systems (PACS), (2003).Google Scholar
- Ross, P.E. Managing Care Through the Air. IEEE Spectrum, 41 (12). 26--31. Google ScholarDigital Library
- Salkintzis, A.K., Fors, C. and Pazhyannur, R. WLAN-GPRS Integration for Next-Generation Mobile Data Networks. IEEE Wireless Communications, 9 (5). 112--124. Google ScholarDigital Library
- Sanmateu, A., Paint, F., Morand, L., Tessier, S., Fouquart, P., Sollund, A. and Bustos, E. Seamless Mobility Across IP Networks using Mobile IP. Computer Networks, 40 (1). 181--190. Google ScholarDigital Library
- Shih, E., Bahl, P. and Sinclair, M.J., Wake on Wireless: An Event Driven Energy Saving Strategy for Battery Operated Devices. in Proc. 8th Int. Conf. Mobile Computing and Networking (MOBICOM), (2002), 160--171. Google ScholarDigital Library
- Simunic, T., Qadeer, W. and De Micheli, G., Managing Heterogeneous Wireless Environments via Hotspot Servers. in Proc. 13th Conf. Multimedia Computing and Networking (MMCN), (2005), 143--154.Google Scholar
- Sorber, J., Banerjee, N., Corner, M.D. and Rollins, S., Turducken: Hierarchical Power Management for Mobile Devices. in Proc. 3rd Int. Conf Mobile Systems, Applications, and Services (MobiSys), (2005), 261--274. Google ScholarDigital Library
- Varshavsky, A., Chen, M., de Lara, E., Froehlich, J., Haehnel, D., Hightower, J., LaMarca, A., Potter, F., Sohn, T. and Tang, K., Are GSM phones THE solution for localization? in Proc. 7th IEEE Wksp. Mobile Computing Systems and Applications (WMCSA), (2006). Google ScholarDigital Library
Index Terms
- Context-for-wireless: context-sensitive energy-efficient wireless data transfer
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