Abstract
Many of modern location-based services are often based on an area or place as opposed to an accurate determination of the precise location. Geofencing approach is based on the observation that users move from one place to another and then stay at that place for a while. These places can be, for example, commercial properties, homes, office centers and so on. As per geofencing approach they could be described (defined) as some geographic areas bounded by polygons. It assumes users simply move from fence to fence and stay inside fences for a while. In this article we replace geo-based boundaries with network proximity rules. This new approach let us effectively deploy indoor location based services and provide a significant energy saving for mobile devices comparing with the traditional methods.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Reclus, F., Drouard, K.: Geofencing for fleet & freight management. In: 2009 9th International Conference on Intelligent Transport Systems Telecommunications (ITST), pp. 353–356 (2009)
LaMarca, A., et al.: Place lab: Device positioning using radio beacons in the wild. In: Gellersen, H.-W., Want, R., Schmidt, A. (eds.) PERVASIVE 2005. LNCS, vol. 3468, pp. 116–133. Springer, Heidelberg (2005)
Constandache, I., Gaonkar, S., Sayler, M., Choudhury, R.R., Cox, L.: Enloc: Energy-efficient localization for mobile phones. In: Proceedings of IEEE INFOCOM Mini Conference 2009, Rio de Janeiro, Brazil (2009)
Zhuang, Z., Kim, K.-H., Singh, J.: Singh Improving Energy Efficiency of Location Sensing on Smartphones. In: MobiSys 2010, San Francisco, California, USA, June 15-18 (2010), Copyright 2010 ACM 978-1-60558-985-5/10/06
http://forums.watchuseek.com/f296/garmin-fenix-ongoing-review-several-parts-746366-11.html (retrieved: March 2013)
Hristova, N., O‘Hare, G.M.P.: Ad-me: Wireless Advertising Adapted to the User Location, Device and Emotions. In: Thirty-Seventh Hawaii International Conference on System Sciences (HICSS-37) (2004)
Lu, H., et al.: The jigsaw continuous sensing engine for mobile phone applications. In: Proc. 8th ACM Conf. Embedded Netw. Sens. Syst., SenSys 2010, pp. 71–84. ACM (2010)
Paek, J., Kim, J., Govindan, R.: Energy-efficient rate-adaptive gpsbased positioning for smartphones. In: Proc. 8th MobiSys 2010, pp. 299–314. ACM (2010)
Namiot, D.: Geo messages. In: 2010 International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), pp. 14–19 (2010), doi:10.1109/ICUMT.2010.5676665
Priyantha, B., Lymberopoulos, D., Liu, J.: LittleRock: Enabling Energy-Efficient Continuous Sensing on Mobile Phones. IEEE Pervas. Comput. 10(2), 12–15 (2011)
Song, L., Kotz, D., Jain, R., He, X.: Evaluating next-cell predictors with extensive wi-fi mobility data. IEEE Trans. Mobile Comput. 5(12), 1633–1649 (2006)
Chon, Y., Talipov, E., Shin, H., Cha, H.: Mobility Prediction-based Smartphone Energy Optimization for Everyday Location Monitoring. In: SenSys 2011, Seattle, WA, USA, November 1-4 (2011), Copyright 2011 ACM 978-1-4503-0718-5/11/11
Namiot, D., Sneps-Sneppe, M.: Where Are They Now – Safe Location Sharing. In: Andreev, S., Balandin, S., Koucheryavy, Y. (eds.) NEW2AN/ruSMART 2012. LNCS, vol. 7469, pp. 63–74. Springer, Heidelberg (2012)
Sprint Geofence API, http://developer.sprint.com/dynamicContent/geofence/ (retrived: February 2013)
Open API platform, http://www2.alcatel-lucent.com/application_enablement/ (retrieved: March 2013)
Namiot, D.: Context-Aware Browsing–A Practical Approach. In: 2012 6th International Conference on Next Generation Mobile Applications, Services and Technologies (NGMAST), pp. 18–23. IEEE (2012), doi:10.1109/NGMAST.2012.13
Namiot, D., Schneps-Schneppe, M.: About location-aware mobile messages. In: NGMAST 2011, pp. 48–53 (2011), doi:10.1109/NGMAST.2011.19
Namiot, D., Sneps-Sneppe, M.: Proximity as a Service. In: 2012 2nd Baltic Congress on Future Internet Communications (BCFIC), pp. 199–205 (2012), doi:10.1109/BCFIC.2012.6217947
Rekimoto, J., Miyaki, T., Ishizawa, T.: LifeTag: WiFi-Based Continuous Location Logging for Life Pattern Analysis. In: Hightower, J., Schiele, B., Strang, T. (eds.) LoCA 2007. LNCS, vol. 4718, pp. 35–49. Springer, Heidelberg (2007)
Azizyan, M., Constandache, I., Roy, R.: SurroundSense: mobile phone localization via ambience fingerprinting. In: Proceedings of the 15th Annual International Conference on Mobile Computing and Networking (MobiCom 2009), pp. 261–272 (2009), doi:10.1145/1614320.1614350
Chen, Y., Chawathe, Y., LaMarca, A., Krumm, J.: Accuracy characterization for metropolitan-scale Wi-Fi localization. In: ACM MobiSys (2005)
Stuart, A.: The correlation between variate-values and ranks in samples from a continous distribution. British Journal of Statistical Psychology 7(1), 37–44
Kjaergaard, M., Wirz, M., Roggen, D., Troster, G.: Mobile sensing of pedestrian flocks in indoor environments using WiFi signals. In: 2012 IEEE International Conference on Pervasive Computing and Communications (PerCom), pp. 95–102 (2012)
Janga, W., Healyb, W.: Wireless sensor network performance metrics for building applications. Energy and Buildings 42(6), 862–868, doi:10.1016/j.enbuild.2009.12.008
Chandra, R., Padhye, J., Ravindranath, L., Wolman, A.: A Beacon-Stuffing: Wi-Fi without Associations. In: Eighth IEEE Workshop on Mobile Computing Systems and Applications, HotMobile 2007, pp. 53–57 (2007)
Smartphones movement track, http://www.technologyreview.com/view/427687/if-you-have-a-smart-phone-anyone-can-now-track/ (retrieved: April 2013)
Meshlium Xtreme, http://www.libelium.com/products/meshlium (retrived: April 2013)
Hansen, J., Gronli, T., Ghinea, G.: Cloud to Device Push Messaging on Android: A Case Study. In: 2012 26th International Conference on Advanced Information Networking and Applications Workshops (WAINA), pp. 1298–1303 (2012)
Sneps-Sneppe, M., Namiot, D.: Spotique: A New Approach to Local Messaging. In: Tsaoussidis, V., Kassler, A.J., Koucheryavy, Y., Mellouk, A. (eds.) WWIC 2013. LNCS, vol. 7889, pp. 192–203. Springer, Heidelberg (2013)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Namiot, D., Sneps-Sneppe, M. (2013). Geofence and Network Proximity. In: Balandin, S., Andreev, S., Koucheryavy, Y. (eds) Internet of Things, Smart Spaces, and Next Generation Networking. ruSMART NEW2AN 2013 2013. Lecture Notes in Computer Science, vol 8121. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40316-3_11
Download citation
DOI: https://doi.org/10.1007/978-3-642-40316-3_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-40315-6
Online ISBN: 978-3-642-40316-3
eBook Packages: Computer ScienceComputer Science (R0)