Behavior-based mobility prediction for seamless handoffs in mobile wireless networks

Wireless Networks

Volumn 17, Issue 3, 2011, Pages 645-658

  Wanalertlak, Weetit ^a   Lee, Ben ^a   Yu, Chansu ^b   Kim, Myungchul ^c,e   Park, Seung Min ^d,f   Kim, Won Tae ^d  

^a Oregon State University   (United States)

^b Cleveland State University   (United States)

^c Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

^d Embedded Software Research Division   (South Korea)

^e Faculty of the Information and Communications   (South Korea)

^f Electronics and Telecommunications Research Institute (ETRI)   (South Korea)

Author keywords

Fast handoffs; Mobility prediction; WLANs; WMNs

Indexed keywords

BEHAVIOR-BASED; CAMPUS NETWORK; ENABLING TECHNOLOGIES; FAST HANDOFF; HAND-OFF DELAY; HANDOFF LATENCY; IEEE 802.11 NETWORKS; IEEE 802.11 STANDARDS; LOCATION INFORMATION; MOBILE USERS; MOBILE WIRELESS NETWORK; MOBILITY PREDICTION; MOBILITY PREDICTIONS; MUNICIPAL WIRELESS NETWORKS; PERIODIC BEHAVIOR; PERVASIVE COMPUTING APPLICATIONS; PREDICTION ACCURACY; RESEARCH COMMUNITIES; RESIDENTIAL AREAS; SEAMLESS HANDOFF; SIMULATION STUDIES; WIRELESS LAN; WIRELESS NETWORKING; WLANS; WMNS;

COMPUTER SIMULATION; FORECASTING; GLOBAL SYSTEM FOR MOBILE COMMUNICATIONS; STANDARDS; UBIQUITOUS COMPUTING;

WIRELESS NETWORKS;

EID: 79955890149     PISSN: 10220038     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11276-010-0303-x     Document Type: Article

References (47)

1. MetroFi Portland Free Wi-Fi. Online. Available: http://www. metrofiportland.com.
2. SeattleWireless. Online. Available: http://SeattleWireless.net.
3. NYCwireless. Online. Available: http://NYCwireless.net.
4. Rooftop@Media. Online. Available: http://rooftops.media.mit.edu.
5. Draft Standard for Information Technology- Telecommunications and Information Exchange Between Systems-LAN/MAN Specific Requirement - Part 11:Wireless LAN Medium Access Control and Physical Layer Specifications: Amendment: ESS Mesh Networking, IEEE Unapproved draft Std. P802.11s/D1.02, Mar 2007.
6. Jovanov, E., Milenkovic, A., Otto, C., & de Groen, P. C. (2005). A wireless body area network of intelligent motion sensors for computer assisted physical rehabilitation. Journal of Neuroengineering Rehabiltation (Online). Mar 2005.
7. Ashbrook, D., & Starner, T. (2006). Poster: Slope: A system for rapid deployment of vanet communication protocols. In The international conference on mobile systems, applications, and services (MOBISYS). Jun 2006.
8. Ramani, I., & Savage, S. (2005). Syncscan: Practical fast handoff for 802.11 infrastructure networks. In IEEE INFOCOM (pp. 675-684). Mar 2005. (Pubitemid 41390861)
9. ITU-T recommendation G.114, (1993). International Telecommunication Union, Tech. Rep.
10. Brik, V., Mishra, A., & Banerjee, S. (2005). Eliminating handoff latencies in 802.11 WLANs using multiple radios: Applications, experience, and evaluation. In Internet measurement conference (IMC) (pp. 27-27). Oct 2005.
11. Waharte, S., Ritzenthaler, K., & Boutaba, R. (2004). Selective active scanning for fast handoff in WLAN using sensor networks. In Mobile and wireless communications networks (MWCN) (pp. 59-70). Oct 2004.
12. Shin, M., Mishra, A., & Arbaugh, W. A. (2004). Improving the latency of 802.11 hand-offs using neighbor graphs. In The international conference on mobile systems, applications, and services (MOBISYS) (pp. 70-83). Jun 2004.
13. Shin, S., Forte, A. G., Rawat, A. S., & Schulzrinne, H. (2004). Reducing mac layer handoff latency in IEEE 802.11 wireless LANs. In ACM international workshop on mobility management and wireless access (MOBIWAC) (pp. 19-26). Sep 2004. (Pubitemid 40390911)
14. Wanalertlak, W., & Lee, B. (2007). Global path-cache technique for fast handoffs in WLANs. In International conference on computer communications and networks (ICCCN) (pp. 45-50). Aug 2007. (Pubitemid 351403427)
15. Local and Metropolitan Area Network, Part 11: Wireless LAN Medium Access Control and Physical Layer Specifications, IEEE Std. 802.11, (2007).
16. Box, G. E. P., & Jenkins, G. (1994). Time series analysis, forecasting and control, 3rd ed. NJ: Prentice Hall.
17. Shumway, R. H., & Stoffer, D. S. (2006). Time series analysis and its applications: With R examples, 2nd ed. New York: Springer.
18. Ieee 802.11f standard: Recommend practice for multi-vendor access point interpretability via an inter-access point protocol. Online. Available: http://grouper.ieee.org/groups/802/11/private/Draft-Standards/11f/802.11f-D3.1. pdf.
19. Yoon, J., Noble, B. D., Liu, M., & Kim, M. (2006). Building realistic mobility models from coarse-grained traces. In The international conference on mobile systems, applications, and services (MOBISYS) (pp. 177-190). Jun 2006. (Pubitemid 44440797)
20. Umedu, T., Urabe, H., Tsukamoto, J., Sato, K., & Higashino, T. H. T. (2006). A manet protocol for information gathering from disaster victims. In Fourth annual IEEE international conference on pervasive computing and communications workshops (pp. 442-447). Mar 2006.
21. Broch, J., Maltz, D. A., Johnson, D. B., Chun Hu, Y., & Jetcheva, J. (1998). A performance comparison of multi-hop wireless ad hoc network routing protocols. In ACM international conference on mobile computing and networking (MobiCom) (pp. 85-97). Oct. 1998.
22. Network simulator (ns2). Online. Available: http://www.isi.edu/nsnam/ns.
23. Amit's thoughts on path-finding and A*. Online. Available: http://theory.stanford.edu/amitp/GameProgramming.
24. Rappaport, T. S. (2002). Wireless communications: Principles and practice, 2nd ed. NJ: Prentice Hall.
25. Atheros ar5002x 802.11a/b/g universal WLAN solution. Online. Available: http://www.atheros.com/pt/AR5002XBulletin.htm.
26. MadWIFI-0.9.2. Online. Available: http://www.madwifi.org.
27. Katsaros, D., Nanopoulos, A., Karakaya, M., Yavas, G., Ulusoy, U., & Manolopoulos, Y. (2003). Clustering mobile trajectories for resource allocation in mobile environments, ser. Lecture notes in computer science, vol. 2779/2003. New York: Springer. Sep. 2003.
28. Aljadhai, A., & Znati, T. F. (2001). Predictive mobility support for QoS provisioning in mobile wireless environments. IEEE Journal on Selected Areas in Communications, 19(10), 1915-1930. (Pubitemid 33067989)
29. Kim, T.-H., Yang, Q., Lee, J.-H., Park, S.-G., & Shin, Y.-S. (2007). A mobility management technique with simple handover prediction for 3G LTE systems. In Vehicular technology conference (VTC) (pp. 259-263). Jun 2007.
30. Soh, W.-S., & Kim, H. S. (2004). Dynamic bandwidth reservation in cellular networks using road topology based mobility predictions. IEEE INFOCOM, 4, 2766-2777.
31. Wu, H.-K., Jin, M.-H., Horng, J.-T., & Ke, C.-Y. (2001). Personal paging area design based on mobile's moving behaviors. IEEE INFOCOM, 1, 21-23.
32. Yavas, G., Katsaros, D., Ulusoy, O., & Manolopoulos, Y. (2005). A data mining approach for location prediction in mobile environments. Data and Knowledge Engineering, 54(2), 121-146. (Pubitemid 40683785)
33. Song, L., Deshpande, U., Kozat, U. C., Kotz, D., & Jain, R. (2006). Predictability of WLAN mobility and its effects on bandwidth provisioning. In IEEE INFOCOM (pp. 1-13). Apr 2006.
34. Franois, J.-M. (2007). Performing and making use of mobility prediction. Ph.D. dissertation, University of Lige.
35. Su, W., Lee, S.-J., & Gerla, M. (2001). Mobility prediction and routing in ad hoc wireless networks. International Journal of Network Management, 11(1), 3-30.
36. You, C.-W., Chen, Y.-C., Chiang, J.-R., Huang, P., Chu, H.-H., & Lau, S.-Y. (2006). Sensor-enhanced mobility prediction for energy-efficient localization. Sensor and Ad Hoc Communications and Networks (SECON), 2, 565-574.
37. Pack, S., & Choi, Y. (2004). Fast handoff scheme based on mobility prediction in public wireless LAN systems. IEE Proceedings Communications, 151(5) 489-495.
38. Liu, T., Bahl, P., & Chlamtac, I. (1998). Mobility modeling, location tracking, and trajectory prediction in wireless ATM networks. IEEE Journal on Selected Areas in Communications, 16(6), 922-936.
39. Chan, J., Zhou, S., & Seneviratne, A. (1997). A hybrid handoff scheme with prediction enhancement for wireless ATM network. In IEEE Asia Pacific Conference on Communications (APCC), Dec. 1997, pp. 494-498.
40. Chan, J., Zhou, S., & Seneviratne, A. (1998). A QoS adaptive mobility prediction scheme for wireless networks. In IEEE conference and exhibition global telecommunications conference (GLOBECOM) (pp. 1414-1419). Nov 1998.
41. Ma, W., & Fang, Y. (2002). A new location management strategy based on user mobility pattern for wireless networks. In IEEE conference on local computer networks (LCN) (pp. 451-457). Nov 2002.
42. Tabbane, S. (1995). An alternative strategy for location tracking. IEEE Journal on Selected Areas in Communications, 13(5), 880-892.
43. Cayirci, E., & Akyildiz, I. F. (2002). User mobility pattern scheme for location update and paging in wireless systems. IEEE Transactions on Mobile Computing, 1(3), 236-247. (Pubitemid 44934218)
44. Sricharan, M., Vaidehi, V., & Arun, P. (2006). An activity based mobility prediction strategy for next generation wireless networks. In Wireless and optical communications networks: The next generation of internet (WOCN). Apr 2006.
45. Marmasse, N., & Schmandt, C. (2002). A user-centered location model. Personal Ubiquitous Computer, 6(5-6), 318-321.
46. Ashbrook, D., & Starner, T. (2002). Learning significant locations and predicting user movement with GPS. In IEEE international symposium on wearable computers (ISWC) (pp. 101-108). Oct 2002.
47. Liao, L., Fox, D., & Kautz, H. (2007). Extracting places and activities from GPS traces using hierarchical conditional random fields. International Journal of Robotics Research, 26(1), 119-134. (Pubitemid 44975091)