Mobility prediction in mobile wireless networks

Journal of Network and Computer Applications

Volumn 35, Issue 5, 2012, Pages 1633-1645

  Akbari Torkestani, Javad ^a  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

Author keywords

Ad hoc networks; Gauss Markov random process; Learning automaton; Mobility prediction

Indexed keywords

ADAPTIVE LEARNING; CONVERGENCE PROPERTIES; CONVERGENCE RESULTS; DISTRIBUTION PARAMETERS; GAUSS-MARKOV RANDOM PROCESS; LEARNING AUTOMATA; LINK AVAILABILITY; MEMORYLESS; MOBILE WIRELESS NETWORK; MOBILITY BEHAVIOR; MOBILITY CHARACTERISTICS; MOBILITY MODEL; MOBILITY PARAMETERS; MOBILITY PATTERN; MOBILITY PREDICTIONS; MOTION BEHAVIOR; PATH RELIABILITY; PREDICTION METHODS; PRIOR KNOWLEDGE; STRONG CONVERGENCE; WIDE SPECTRUM;

AD HOC NETWORKS; ALGORITHMS; FORECASTING; MOBILE AD HOC NETWORKS; MODELS; RANDOM PROCESSES; TELECOMMUNICATION NETWORKS;

AUTOMATA THEORY;

EID: 84862770067     PISSN: 10848045     EISSN: 10958592     Source Type: Journal    
DOI: 10.1016/j.jnca.2012.03.008     Document Type: Article

References (52)

1. Akbari Torkestani J. An adaptive focused web crawling algorithm based on learning automata. Applied Intelligence, in press-a.
2. Akbari Torkestani J. LAAP: A learning automata-based adaptive polling scheme for clustered wireless ad-Hoc networks. Wireless Personal Communication, in press-b.
3. Akbari Torkestani J. An adaptive backbone formation algorithm for wireless sensor networks. Computer Communications, in press-c.
4. Akbari Torkestani J. An adaptive learning automata-based ranking function discovery algorithm. Journal of Intelligent Information Systems, in press-d.
5. Akbari Torkestani J. A stable virtual backbone for wireless MANETS. Telecommunication Systems Journal, in press-e.
6. Akbari Torkestani J. A new approach to the job scheduling problem in computational grids. Journal of Cluster Computing, in press-f.
7. J Akbari Torkestani Degree constrained minimum spanning tree problem in stochastic graph Journal of Cybernetics and Systems 43 1 2012 1 21
8. J Akbari Torkestani, and M.R. Meybodi LLACA: an adaptive localized clustering algorithm for wireless ad hoc Networks based on learning automata Journal of Computers & Electrical Engineering 37 2011 461 474
9. J Akbari Torkestani, and M.R. Meybodi A link stability-based multicast routing protocol for wireless mobile Ad hoc networks Journal of Network and Computer Applications 34 4 2011 1429 1440
10. J Akbari Torkestani, and M.R. Meybodi Finding minimum weight connected dominating set in stochastic graph based on learning automata Information Sciences 200 2012 57 77
11. B. An, and S. Papavassilou A mobility-based clustering approach to support mobility management and multicast routing International Journal of Network Management 11 6 2001 387 395 (Pubitemid 33112629)
12. B. An, and S. Papavassilou MHMR: mobility-based hybrid multicast routing protocol in mobile ad-hoc wireless networks Wireless Communications and Mobile Computing 3 2003 255 270 (Pubitemid 40183741)
13. H. Abu-Ghazaleh, and A.S. Alfa Application of mobility prediction in wireless networks using Markov Renewal Theory IEEE Transactions on Vehicular Technology 59 2 2010 788 802
14. Broch J, Punnoose R, Nikitin P, Stancil D. Optimizing wireless network protocols using real-time predictive propagation modeling. In: Proceedings of IEEE radio and wireless conference (RAWCON99): USA; 1999.
15. C. Bettstetter Mobility modeling in wireless networks: categorization, smooth movement and border effects ACM Mobile Computings and Communication Review 5 3 2001 55 67
16. F. Bai, and A. Helmy A survey of mobility models in wireless adhoc networks Wireless ad-hoc networks 2006 Kluwer Academic
17. Bellahsene S, Kloul L. A new Markov-based mobility prediction algorithm for mobile networks. In: Aldini A, Bernardo M, Bononi L, Cortellessa V, editors. Proceedings of the 7th European performance engineering conference on computer performance engineering. Berlin, Heidelberg: Springer-Verlag; 2010. p. 37-50.
18. R. Begleiter, R. El-Yaniv, and G. Yona On prediction using variable order markov models Journal of Artificial Intelligence Research 22 2004 385 421 (Pubitemid 41525891)
19. Chellappa-Doss R, Jennings A, Shenoy N. Mobility prediction for seamless mobility in wireless networks. In: Proceedings of the 4th international network conference. University of Plymouth: United Kingdom; 2004. p. 435-443.
20. Chellappa-Doss R, Jennings A, Shenoy N. The sectorized mobility prediction algorithm for wireless networks. In: Proceedings of the 2003 international conference on information and communication technologies (ICT 2003); 2003.
21. Chellapa-Doss R, Jennings A, Shenoy N. User mobility prediction in hybrid and ad-hoc wireless networks. In: Australian telecommunications networks and applications conference (ATNAC2003): Australia; 2003
22. Chellapa-Doss R, Jennings A, Shenoy N. A comparative study of mobility prediction in cellular and ad-hoc wireless networks. In: Proceedings of the IEEE international conference on communications 2003 (ICC2003): USA; 2003
23. T. Camp, J. Boleng, and V. Davies A survey of mobility models for ad-hoc network research Wireless Communications and Mobile Computing 2 2002 483 502 (Pubitemid 135713186)
24. L. Dekar, and H. Kheddouci A cluster-based mobility prediction scheme for ad-hoc networks Ad-Hoc Networks 6 2008 168 194 (Pubitemid 350011218)
25. J.L. Doob Stochastic processes 1953 John Wiley and Sons New York
26. Gullapalli V. Reinforcement learning and its application on control. PhD thesis. Department of computer and information sciences. Amherst, MA, USA: University of Massachusetts; 1992.
27. M.N. Howell, G.P. Frost, T.J. Gordon, and Q.H. Wu Continuous action reinforcement learning applied to vehicle suspension control Mechatronics 7 3 1997 263 276 (Pubitemid 127403375)
28. Hu YC, Johnson DB. Caching strategies in on-demand routing protocols for wireless ad-hoc networks. In: Proceedings of the sixth annual international conference on mobile computing and networking (MobiCom 2000). ACM, Boston: USA; 2000.
29. C. Konstantopoulos, D. Gavalas, and G. Pantziou Clustering in mobile ad-hoc networks through neighborhood stability-based mobility prediction Computer Networks 52 2008 1797 1824
30. H. Kaaniche, and F. Kamoun Mobility prediction in wireless ad hoc networks using neural networks Journal of Telecommunications 2 1 2010 95 101
31. S. Leng, L. Zhang, H. Fu, and J. Yang Mobility analysis of mobile hosts with random walking in ad-hoc networks Computer Networks 51 2007 2514 2528 (Pubitemid 46678897)
32. Liang B, Haas ZJ. Predictive distance-based mobility management for PCS networks. In: Proceedings of the joint conference of the IEEE computer and communications societies (INFOCOM); 1999. p. 1377-1384.
33. B. Liang, and Z.J. Haas Predictive distance-based mobility management for multi-imensional PCS networks IEEE/ACM Transactions on Networking 11 5 2003 1 15
34. S. Lakshmivarahan, and M.A.L. Thathachar Bounds on the convergence probabilities of learning automata IEEE Transactions on Systems, Man, and Cybernetics SMC-6 1976 756 763
35. Li X, Mitton N, Simplot-Ryl D. Mobility prediction based neighborhood discovery for mobile ad hoc networks. In: Proceedings of the 10th IFIP international conference on networking. LNCS 5793: Spain; 2011. p. 138-151.
36. Lassabe F, Charlet D, Canalda P, Chatonnay P, Spies F. Predictive mobility models based on Kth Markov Models. In: Proceedings of IEEE international conference on pervasive services. Lyon: France; 2006. p. 303-306 (Pubitemid 46028831)
37. B. McDonald, and T.F. Znati Statistical estimation of link availability and its impact on routing in wireless ad-hoc networks Wireless Communications and Mobile Computing 4 2004 331 349 (Pubitemid 40183646)
38. K.S. Narendra, and K.S. Thathachar Learning automata: an introduction 1989 Printice-Hall New York
39. M. Ni, Z. Zhong, and D. Zhao MPBC: a mobility prediction-based clustering scheme for ad hoc networks IEEE Transactions on Vehicular Technology 60 9 2011 4549 4559
40. Su W, Gerla M. IPv6 flow handoff in ad-hoc wireless networks using mobility prediction. In: Proceedings of IEEE GLOBECOM 99: Brazil; 1999.
41. W. Su, S.J. Lee, and M. Gerla Mobility prediction and routing in ad-hoc wireless networks International Journal of Network Management 11 1 2001 3 30
42. W. Su, S.J. Lee, and M. Gerla Wireless ad-hoc multicast routing with mobility prediction Mobile Networks and Applications 6 4 2001 351 360 (Pubitemid 32677021)
43. D. Son, A. Helmy, and B. Krishnamachari The effect of mobility-induced location errors on geographic routing in mobile ad-hoc and sensor networks: analysis and improvement using mobility prediction IEEE Transactions on Mobile Computing 3 3 2004 233 245
44. G. Santharam, P.S. Sastry, and M.A.L. Thathachar Continuous action-set learning automata for stochastic optimization Journal of the Franklin Institute 331 1994 607 628
45. Si H, Wang Y, Yuan J, Shan X. Mobility prediction in cellular network using hidden Markov Model. In: Proceedings of the 7th annual IEEE conference on consumer communications and networking. Las Vegas: USA; 2010. p. 1-5
46. M.A.L. Thathachar, and P.S. Sastry Varieties of learning automata: an overview IEEE Transactions on Systems, Man, and Cybernetics-Part B 32 6 2002 711 722 (Pubitemid 35428559)
47. Tolety V. Load reduction in ad-hoc networks using mobile servers. Masters thesis. Colorado: Colorado School of Mines; 1999.
48. A. Venkateswaran, V. Sarangan, T.F. La Porta, and R. Acharya A mobility-prediction-based relay deployment framework for conserving power in MANETs IEEE Transactions on Mobile Computing 8 6 2009 750 765
49. Wang K, Li B. Group mobility and partition prediction in wireless ad-hoc networks. In: IEEE international conference on communications (ICC2002): USA; 2002.
50. W. Wanalertlak, B. Lee, C. Yu, M. Kim, S.M. Park, and W.T. Kim Behavior-based mobility prediction for seamless handoffs in mobile wireless networks Wireless Networks 17 2011 645 658
51. M. Yu, A. Malvankar, W. Su, and S.Y. Foo A link availability-based QoS-aware routing protocol for mobile ad-hoc sensor networks Computer Communications 30 2007 3823 3831 (Pubitemid 350179997)
52. Z. Zhou, Z. Peng, J.H. Cui, Z. Shi, and A.C. Bagtzoglou Scalable localization with mobility prediction for underwater sensor networks IEEE Transactions on Mobile Computing 10 3 2011 335 348