Cell phone subscribers mobility prediction using enhanced Markov Chain algorithm

IEEE Intelligent Vehicles Symposium, Proceedings

Volumn , Issue , 2014, Pages 1049-1054

  Hadachi, Amnir ^a   Batrashev, Oleg ^a   Lind, Artjom ^a   Singer, Georg ^b   Vainikko, Eero ^a,b  

^a UNIVERSITY OF TARTU   (Estonia)

^b Software Technology and Applications Competence Center   (Estonia)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CELLULAR TELEPHONES; GLOBAL SYSTEM FOR MOBILE COMMUNICATIONS; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; MOBILE PHONES; MOBILE TELECOMMUNICATION SYSTEMS;

CELL PHONE; DYNAMIC NATURE; MOBILE PHONE DATUM; MOBILE-PHONE USERS; MOBILITY PREDICTIONS; NETWORK INFRASTRUCTURE; ROAD TRAFFIC; TRACKING SYSTEM;

MARKOV PROCESSES;

EID: 84905370864     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IVS.2014.6856442     Document Type: Conference Paper

References (18)

1. T. M. T. Do and D. Gatica-Perez, "Contextual Conditional Models for Smartphone-based Human Mobility Prediction," in Proceedings of the 2012 ACM Conference on Ubiquitous Computing, New York, NY, USA, 2012, pp. 163-172.
2. F. Calabrese, G. Di Lorenzo, and C. Ratti, "Human mobility prediction based on individual and collective geographical preferences," in 2010 13th International IEEE Conference on Intelligent Transportation Systems (ITSC), 2010, pp. 312-317.
3. W.-S. Soh and H. S. Kim, "QoS provisioning in cellular networks based on mobility prediction techniques," IEEE Communications Magazine, vol. 41, no. 1, pp. 86-92, 2003.
4. S. Bellahsene and L. Kloul, "A New Markov-Based Mobility Prediction Algorithm for Mobile Networks," in Computer Performance Engineering, A. Aldini, M. Bernardo, L. Bononi, and V. Cortellessa, Eds. Springer Berlin Heidelberg, 2010, pp. 37-50.
5. A. Hadachi, S. Mousset, and A. Bensrhair, "Approach to estimate travel time using sparsely sampled GPS data in urban networks," Electronics Letters, vol. 49, no. 15, pp. 957-958, 2013.
6. P. N. Pathirana, A. V. Savkin, and S. Jha, "Robust extended Kalman filter applied to location tracking and trajectory prediction for PCS networks," in Proceedings of the 2004 IEEE International Conference on Control Applications, 2004, 2004, vol. 1, pp. 63-68 Vol.1. (Pubitemid 40575067)
7. L. Ellis, N. Dowson, J. Matas, and R. Bowden, "Linear Predictors for Fast Simultaneous Modeling and Tracking," in IEEE 11th International Conference on Computer Vision, 2007. ICCV 2007, 2007, pp. 1-8.
8. A. Socievole, F. D. Rango, and S. Marano, "Link Prediction in Human Contact Networks Using Online Social Ties," in 2013 Third International Conference on Cloud and Green Computing (CGC), 2013, pp. 305-312.
9. C. Kang, S. Gao, X. Lin, Y. Xiao, Y. Yuan, Y. Liu, and X. Ma, "Analyzing and geo-visualizing individual human mobility patterns using mobile call records," in 2010 18th International Conference on Geoinformatics, 2010, pp. 1-7.
10. M. C. Gonzalez, C. A. Hidalgo, and A.-L. Barabasi, "Understanding individual human mobility patterns," Nature, vol. 453, no. 7196, pp. 779-782, Jun. 2008. (Pubitemid 351793783)
11. Alejandro Quintero, "A User Pattern Learning Strategy forManaging Users' Mobility in UMTS Networks", IEEE Transactions On Mobile Computing, vol. 4, no. 6, pp. 552-556, 2005.
12. Nancy Samaan and Ahmed Kormouch, "A Mobility Prediction Architecture Based on Conceptual Knowledge and Spatial Conceptual Maps", IEEE Transactions on Mobile Computing, vol 4, no 6, pp. 537-551, 2005. (Pubitemid 41704825)
13. Sun, M.H., Blough, D.M.: "Mobility prediction using future knowledge." In: Proceedings of the 10th ACM Symposium on Modelling, Analysis, and Simulation of Wireless and Mobile Systems, Chania, Crete Island, Greece (2007)
14. A. J. Nicholson and B. D. Noble, "Breadcrumbs: forecasting mobile connectivity," in Proc. of ACM MobiCom, 2008.
15. Bellahsene, S., Kloul, L., Barth, D.:" A hierarchical prediction model for two nodesbased IP mobile networks" MSWiM 2009. In: Proceedings of the 12th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems MSWiM, Tenerife, Canary Islands, Spain, pp. 173-180 (2009)
16. K. Ghanem, H. Alradwan, A. Motermawy, and A. Ahmad, "Reducing ping-pong Handover effects in intra EUTRA networks," in 2012 8th International Symposium on Communication Systems, Networks Digital Signal Processing (CSNDSP), 2012, pp. 1-5.
17. L. Song, D. Kotz, R. Jain, and X. He, "Evaluating location predictors with extensive Wi-Fi mobility data," in INFOCOM 2004. Twenty-third AnnualJoint Conference of the IEEE Computer and Communications Societies, 2004, vol. 2, pp. 1414-1424 vol.2.
18. Toftegaard Nielsen, Thomas, Wigard, Jeroen,"Handover Algorithms ina GSM system," in Performance Enhancements in a Frequency Hopping GSM Network, Springer US,ISBN: 978-0-306-47313-5, 2002, pp. 149-202.