Abstract
Location based services are on the rise, many of which assume GPS based localization. Unfortunately, GPS incurs an unacceptable energy cost that can reduce the phone’s battery life to less than ten hours. Alternate localization technology, based on WiFi or GSM, improve battery life at the expense of localization accuracy. This paper quantifies this important tradeoff that underlies a wide range of emerging applications. To address this tradeoff, we show that humans can be profiled based on their mobility patterns, and such profiles can be effective for location prediction. Prediction reduces the energy consumption due to continuous localization. Driven by measurements from Nokia N95 phones, we develop an energy-efficient localization framework called EnLoc. Evaluation on real user traces demonstrates the possibility of achieving good localization accuracy for a realistic energy budget.
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References
Gaonkar, S., Li, J., Choudhury, R.R., Cox, L., Schmidt, A.: Micro-blog: Sharing and querying content through mobile phones and social participation. In: ACM MobiSys (2008)
Eisenman, S.B., Lane, N.D., Miluzzo, E., Peterson, R.A., Ahn, G.S., Campbell, A.T.: Metrosense project: People-centric sensing at scale. In: Workshop on World-Sensor-Web (2006)
Burke, J., Estrin, D., Hansen, M., Parker, A., Rmanathan, N., Reddy, S., Srivastava, M.B.: Participatory sensing. In: Workshop on World-Sensor-Web (2006)
Sohn, T., Li, K.A., Lee, G., Smith, I.E., Scott, J., Griswold, W.G.: Place-its: A study of location-based reminders on mobile phones. In: Beigl, M., Intille, S.S., Rekimoto, J., Tokuda, H. (eds.) UbiComp 2005. LNCS, vol. 3660, pp. 232–250. Springer, Heidelberg (2005)
Yoon, J., Noble, B., Liu, M.: Surface street traffic estimation. In: ACM MobiSys (2007)
Eriksson, J., Girod, L., Hull, B., Newton, R., Balakrishnan, H., Madden, S.: The pothole patrol: Using a mobile sensor network for road surface monitoring. In: ACM MobiSys (2008)
Mohan, P., Padmanabhan, V., Ramjee, R.: Nericell: Rich monitoring of road and traffic conditions using mobile smartphones. In: ACM Sensys (2008)
Forum. Nokia. Com, Nokia Energy Profiler, http://www.forum.nokia.com/info/sw.nokia.com/id/324866e9-0460-4fa4-ac53-01f0c392d40f/Nokia_Energy_Profiler.html
Cheng, Y.-C., Chawathe, Y., LaMarca, A., Krumm, J.: Accuracy characterization for metropolitan-scale wi-fi localization. In: ACM MobiSys (2005)
Chen, M., Soh, T., Chmelev, D., Haehnel, D., Hightower, J., Hughes, J., LaMarca, A., Potter, F., Smith, I., Varshavsky, A.: Practical metropolitan-scale positioning for gsm phones. In: Dourish, P., Friday, A. (eds.) UbiComp 2006. LNCS, vol. 4206, pp. 225–242. Springer, Heidelberg (2006)
Fu, A.C., Modiano, E., Tsitsiklis, J.N.: Optimal energy allocation and admission control for communications satellites. IEEE/ACM Trans. Netw. (2003)
Wang, Y., Lin, J., Annavaram, M., Jacobson, Q.A., Hong, J., Krishnamachari, B., Sadeh, N.: A framework of energy efficient mobile sensing for automatic user state recognition. In: MobiSys (2009)
Gonzalez, M.C., Hidalgo, C.A., Barabasi, A.-L.: Understanding individual human mobility patterns. Nature (2008)
Lee, H., Wicke, M., Kusy, B., Guibas, L.: Localization of mobile users using trajectory matching. In: ACM MELT (2008)
Burbey, I., Martin, T.: Predicting future locations using prediction-by-partial-match. In: ACM MELT (2008)
Lee, K., Hong, S., Kim, S.J., Rhee, I., Chong, S.: Slaw: A mobility model for human walks. In: IEEE INFOCOM (2009)
Google maps api, http://code.google.com/apis/maps/
Ofstad, A., Nicholas, E., Szcodronski, R., Choudhury, R.R.: Aampl: Accelerometer augmented mobile phone localization. In: ACM MELT (2008)
Miluzzo, E., Lane, N.D., Fodor, K., Peterson, R., Lu, H., Musolesi, M., Eisenman, S.B., Zheng, X., Campbell, A.T.: Sensing meets mobile social networks: The design, implementation and evaluation of cenceme application. In: ACM Sensys (2008)
Azizyan, M., Constandache, I., Choudhury, R.R.: Surroundsense: Localizing mobile phones via ambience fingerprinting. In: ACM MobiCom (2009)
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© 2010 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Constandache, I., Gaonkar, S., Sayler, M., Choudhury, R.R., Cox, L. (2010). Energy-Efficient Localization via Personal Mobility Profiling. In: Phan, T., Montanari, R., Zerfos, P. (eds) Mobile Computing, Applications, and Services. MobiCASE 2009. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 35. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12607-9_14
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DOI: https://doi.org/10.1007/978-3-642-12607-9_14
Publisher Name: Springer, Berlin, Heidelberg
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