Abstract
In this paper, we present a new approach to predict the displacement of a mobile based on classification according to profile (all significant information that characterizes a user), and taking account of communication bill of this one. Our solution can be implemented in a third generation network, by exploiting information of users (age, function, residence place, work place …), the existing infrastructure (roads …) and the historical of displacements.
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References
Zhuang, W., Chua, K.C., Jiang, S.M.: Measurement-based dynamic bandwidth reservation scheme for handoff in mobile multimedia networks (1998)
Hsu, L., Purnadi, R., Wang, S.S.P.: Maintaining quality of service (QoS) during handoff in cellular system with movement prediction schemes. In: IEEE (1999)
Choi, S., Shin, K.G.: Predictive and adaptive bandwidth reservation for hand-offs in QoS-sensitive cellular networks. In: IEEE (1998)
Shen, X., Mark, J.W., Ye, J.: User mobility profile prediction: an adaptive fuzzy interference approach. Wirel. Netw. 6, 362–374 (2000)
Ashrook, D., Staruer, T.: Learning significant locations and predicting user movement with GPS. In: Proceedings of the 6th International Symposium on Wearable Computers TSWC 2002 (2002)
Soh, W.S., Kim, H.S.: QoS provisioning in cellular networks based on mobility prediction techniques. IEEE Commun. Mag. 41, 86–92 (2003)
Liou, S.C., Lu, H.C.: Applied neural network for location prediction and resource reservation scheme in wireless network. In: Proceedings of ICCT (2003)
François, J.M., Leduc, G.: Entropy-based knowledge spreading and application to mobility prediction. In: ACM CoNEXT 2005, Toulouse, France, 24–27 October 2005
Samaan, N., Karmouch, A.: A mobility prediction architecture based on contextual knowledge and conceptual maps. IEEE Trans. Mob. Comput. 4(6), 537–551 (2005)
Daoui, M., M’zoughi, A., Lalam, M., Belkadi, M., Aoudjit, R.: Mobility prediction based on an ant system. Comput. Commun. 31, 3090–3097 (2008)
Daoui, M., M’zoughi, A., Lalam, M., Aoudjit, R., Belkadi, M.: Forecasting models, methods and applications, mobility prediction in cellular network, pp. 221–232. i-Concepts Press (2010)
Chamek, L., Daoui, M., Lalam, M.: Mobility prediction based on classification according to the profile. Journées sur les rencontres en Informatique R2I, 12–14 june 2011
Chen, X., Meriaux, F., Valentin, S.: Predicting a user’s next cell with supervised learning based on channel states. In: IEEE 14th Workshop on Signal Processing Advances in Wireless Communication (SPAWC) (2013)
Gatmir-Motahari, S., Zang, H., Reuther, P.: Time-clustering-based place prediction for wireless subscribers. IEEE/ACM Trans. Netw. 21(5), 1436–1446 (2013)
Zhang, D., Zhang, D., Xiong, H., Yang, L.T., Gauthier, V.: NextCell: predicting location using social interplay from cell phone traces. IEEE Trans. Comput. 64(2), 452–463 (2015)
Hu, P., Young, J.: 1990 Nationwide Personal Transportation Survey (NPTS), Office of Highway Information Management, October 1994
Han, J., Kamber, M.: Data Mining Concepts and Techniques, 2nd edn. Morgan Kaufmann, San Francisco (2006)
Wu, X., Kumar, V., et al.: Top 10 algorithms in data mining. Knowl. Inf. Syst. 14(1), 1–37 (2008)
Scourias, J., Kunz, T.: An activity-based mobility model and location management simulation framework. In: Proceedings of the Second ACM International Workshop on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWiM), Seattle, Washington, USA, pp. 61–68 (1999)
Scorias, J., Kunz, T.: A dynamic individualized location management algorithm. In: 8th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications. Waves of the Year 2000, PIMRC 1997, Helsinki, pp. 1004–1008, September 1997
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Chamek, L., Daoui, M., Boumerdassi, S. (2016). Prediction of a Mobile’s Location Based on Classification According to His Profile and His Communication Bill. In: Boumerdassi, S., Renault, É., Bouzefrane, S. (eds) Mobile, Secure, and Programmable Networking. MSPN 2016. Lecture Notes in Computer Science(), vol 10026. Springer, Cham. https://doi.org/10.1007/978-3-319-50463-6_6
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DOI: https://doi.org/10.1007/978-3-319-50463-6_6
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