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RETRACTED ARTICLE: New probabilistic models for managing user’s locations in PCS networks

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This article was retracted on 11 August 2015

Abstract

Personal communication service (PCS) networks enable mobile terminals (MTs) to communicate regardless of their locations. However, in order to guarantee an efficient service delivery, MTs’ real time locations should be perfectly managed. Location management (LM) includes two fundamental processes; registration and paging. The former is concerned with the reporting of the current locations of the MTs, while the latter is used to locate a MT. Both processes incur signaling cost across the wireless channel. The more the location updates, the less the paging signaling cost, thus there is a tradeoff in terms of signaling cost. Due to the scarcity of PCS wireless bandwidth, it is important to reduce that signaling cost. As The blanket paging in current mobile networks wastes a lot of wireless bandwidth, we focus on the subject of paging and try to reduce the paging signaling cost under a predefined delay bound. Our contribution can be summarized as: (i) establishing a family of probability based paging strategies; (ii) introducing a novel topology for PCS registration area, which is called the hot spot topology (HST); (iii) based on HST, a novel LM strategy, which is called “Flower Based Strategy” had been introduced. Experimental results had shown that that the proposed paging strategies substantially lower the signaling cost of paging compared to the blanket one with a negligible increase in paging delay.

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References

  1. Singh J, Karnan M (2010) Using a novel intelligent location management strategy in cellular networks. In: International conference on signal acquisition and processing, pp 238–242

  2. Biswash S, Kumar C (2009) Distance-direction-probability based location management scheme for wireless cellular network. In: Proceedings of the National seminar on recent advances on information technology (RAIT-2009) held at Indian School of Mines University (ISMU), Dhanbad, 6–7 February 2009, pp 30–38

  3. Selvan C, Shanmugalakshmi R, Nirmala V (2010) Location management technique to reduce complexity in cellular networks. IJCSI Int J Comput Sci 7(4):37–40

    Google Scholar 

  4. Singh J, Karnan M (2010) Intelligent location management using soft computing technique. In: Second international conference on communication software and networks (ICCSN), pp 343–346

  5. Markande S, Bodhe K (2009) Cartesian coordinate system based dynamic location management scheme. Int J Electron Eng Res 1(1):63–69

    Google Scholar 

  6. Kumar C, Tripathi R (2008) A review of mobility management schemes for the wireless networks. In: Proceedings of the national seminar on frontiers in electronics, communication, instrumentation and information technology (FECIIT-2008) held at Indian School of Mines University, Dhanbad, pp 109–115, 13–15 October 2008

  7. Kondepu K, Kumar C (2009) An effective pointer-based HLR location registration scheme in location management for PCS networks. In: Proceedings of the first IEEE international conference on communication systems and networks (COMSNETS-2009) held at Bangalore, 5–10 Jan 2009, pp 570–571

  8. Biswash SK, Kumar C (2009) Dynamic VLR based location management scheme for PCS networks. In: Proceedings of the international IEEE conference on methods and models in computer science (ICM2CS-09) held at JNU, New Delhi, India, 14–15 Dec 2009, pp 276–280

  9. Giner V, Escalle P (2009) A lookahead strategy for movement-based location update in wireless cellular networks. In: Sixth international conference on information technology: New generations, pp 1171–1177

  10. Zhao C, Guo W, Liu F (2010) An adaptive distance-based location management of LEO system using coordinates approach. Int J Comput Math Electric Electron Eng 29(2):468–476

    Article  Google Scholar 

  11. Bhadauria V, Sachan R (2009) The cost effective location management scheme using mobility information and received signal strength of mobile users in wireless mobile networks. In: IEEE international conference in advance computing (IACC), pp 878–882

  12. Zhang Y, Laurence T, Jianhua Y, Zheng M (2009) Quantitative analysis of location management and QoS in wireless networks. Int J Network Comput Appl 32(2):483–489

    Article  Google Scholar 

  13. Kim K, Choi H (2009) A mobility model and performance analysis in wireless cellular network with general distribution and multi-cell model. Int J Wireless Personal Commun 53(2):179–198

    Article  Google Scholar 

  14. Bar-Noy A, Feng Y, Golin M (2007) Paging mobile users efficiently and optimally. Proceedings of IEEE Infocom

  15. Pratim B, Anilesh D, Saradindu P (2009) A new fuzzy logic based dynamic location update scheme for mobile cellular networks. Adv Wireless Mobile Commun Int J 2(1):39–46

    Google Scholar 

  16. Kim S, Kim I, Mani V, Jun H, Agrawal D (2010) Partitioning of mobile network into location areas using ant colony optimization. Int J Innovative Comput Inf Control 1(1):39–44

    Google Scholar 

  17. Prajapati N, Agravat R, Hasan M (2010) Simulated annealing for location area planning in cellular networks. Int J Appl Graph Theory Wireless Ad Hoc Networks Sensor Networks 2(1):1–7

    Google Scholar 

  18. Baheshti B (2007) Review of location management in cellular networks. In: IEEE systems, application and technology conference LISAT 2007, 4 May 2007, pp 1–6

  19. Kondepu K, Kumar C, Tripathi R (2008) Partially overlapping super location area (POSLA): an efficient scheme for location management in PCS networks. In: Proceedings of IEEE 67th vehicular technology conference: VTC-2008 Spring held at Marina Bay, Singapore, 11–14 May 2008, pp 2182–2187

  20. Akyildiz I, Ho H, Lin Y (1996) Movement-based location update and selective paging for PCS networks. IEEWACM Trans Networking 4(4):629–638

    Article  Google Scholar 

  21. Akyildiz I, McNair J, Ho JSM, Uzunalioglu H, Wang W (1999) Mobility management in next-generation wireless systems. Proc IEEE 87(2):1347–1384

    Article  Google Scholar 

  22. Abutaleb A, Li VOK (1997) Location update optimization in personal communication systems. Wireless Networks 3(2):205–216

    Article  Google Scholar 

  23. Rose C, Yates R (1995) Minimizing the average cost of paging under delay constraints. ACM-Balrzer J Wireless Networks 1(1):211–219

    Article  Google Scholar 

  24. Hwang H, Chang M, Tseng C (2000) A direction-based location update scheme with a line-paging strategy for PCS networks. IEEE Commun Lett 4(5):149–151

    Article  Google Scholar 

  25. Lee B, Hwang C (1999) A predictive paging scheme based on the movement direction of a mobile host. Proc IEEE Vehicular Technol Conf 4(2):2158–2162

    Google Scholar 

  26. Xiao Y (2003) A dynamic anchor-cell assisted paging with an optimal timer for PCS networks. IEEE Commun Lett 7(8):358–360

    Article  Google Scholar 

  27. Bar-Noy A, Kessler I (1993) Tracking mobile users in wireless communications networks. IEEE INFOCOM’93, pp 1232–1239

  28. Bar-Noy A, Kessler I, Sidi M (1995) Mobile users: to update or not to update? ACM/Baltzer Wireless Network 1(2):175–185

    Article  Google Scholar 

  29. Brown TX, Mohan S (1997) Mobility management for personal communication systems. IEEE Trans Veh Technol 46(2):269–278

    Article  Google Scholar 

  30. Xie H, Tabbane S, Goodman D (1993) Dynamic location area management and performance analysis. In: Proceedings 43rd IEEE vehicular technology conference, pp 536–539

  31. Aljadhai A, Znati T (2001) Predictive mobility support for QoS provisioning in mobile wireless environments. IEEE J Sel Areas Commun 19(10):1915–1930

    Article  Google Scholar 

  32. Rajagopal S, Srinivasan R, Narayan R, Petit X (2002) GPS-based predictive resource allocation in cellular networks. In: Proceeding of the IEEE international conference on networks (IEEE ICON’02), pp 229–234

  33. Saleh A (2010) A new strategy for managing user’s locations in PCS networks using hot spots topology: discussion and analysis. Int J Mobile Network Des Innov 3(3):169–190

    Article  Google Scholar 

  34. Bejerano Y, Smith M, Naor J, Immorlica N (2006) Efficient location area planning for personal communication systems. IEEE/ACM Trans Networking 14(2):438–450

    Google Scholar 

Download references

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Correspondence to Ahmed I. Saleh.

Additional information

This article published in Volume 95, Issue 1, pages 25 - 66, DOI 10.1007/s00607-012-0210-3, has been retracted at the request of the Editor-in-Chief as it is a duplicate of a paper that has previously been published in Int J Mobile Network Design and Innovation, Volume 3, Issue 3, pages 169 – 190, DOI 10.1504/IJMNDI.2010.038098.

An erratum to this article is available at http://dx.doi.org/10.1007/s00607-015-0469-2.

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Saleh, A.I. RETRACTED ARTICLE: New probabilistic models for managing user’s locations in PCS networks. Computing 95, 25–66 (2013). https://doi.org/10.1007/s00607-012-0210-3

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