ISSN: 2250-3005 - ijcer

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International Journal Of Computational Engineering Research (ijceronline.com) Vol. 2 Issue. 8will take place at serving-Home Location Register and its corresponding Visitor Location Register where Mobile Terminalwas previously resided.Serving-HLRResident-HLRVLR1VLR2VLR3VLR4Movement of MTRA1Figure 8: Inter-VLR-Inter-HLR move3) When a Mobile Terminal moves to another serving-HLR. In this case registration of Mobile Terminal takes place at newserving-Home Location Register and its Visitor Location Register under which Mobile Terminal comes, de-registrationoccurs at the previous serving- Home Location Register and its associated Visitor Location Register from where MobileTerminal is coming and resident-Home Location Register is updated.6. Performance analysis of various location management schemes:An analytical model to evaluate the performance of the conventional HLR/VLR architecture and a comparison ofthe same is made with the modified HLR/VLRs. In this analysis, a hierarchical tree of R layers is used, as shown in Fig. 9.The layer R contains the root node and the layer 1 contains the leaf nodes. A database is installed on each node of the tree andthe Mobile Terminals are assigned to the leaf nodes. In the HLR/VLRs scheme, the network database, Home LocationRegister, is situated on the only node of layer R and the Visitor Location Registers are installed on the leaf nodes.HLRRA2VLR/MSCHL.XVLR/MSCSS7 Signaling transfer pointFigure 9: HLR/VLR ArchitectureSince total cost consist of location update and location search so total cost is also reduced in modified HLR/VLRscheme. So it can be concluded that proposed modified version of HLR/VLR performs better than the conventional schemesfor location management. Also it is observed that the proposed modified HLR/VLR scheme is better than the conventionalone as the signaling cost and database updating cost is significantly reduced by using group deregistration strategy forlocation update only.Conventional architecture has a single Home Location Register and that’s why it suffers from call misrouting andbottleneck during peak load. To remove this, several conventional architectures are group together to form multi Home||Issn 2250-3005(online)|| ||December||2012|| Page 251
International Journal Of Computational Engineering Research (ijceronline.com) Vol. 2 Issue. 8Location Register architecture. Now in user profile replication scheme even in high load appropriate information is fetchedfrom Home Location Registers and we significantly minimize the possibility of call misrouting.7. Conclusion:In this study, we defined the location management problem and its terminology, reviewed some of the mainaccomplishments achieved by researchers in the field, and established the fundamental issues that impact this problem. Wealso attempted to compare the solutions qualitatively according to their effectiveness for different types of updatingtechniques. That analysis led us to propose a new taxonomy for location management techniques in mobile and wirelessenvironments based on several important factors. In closing, it is worth speculating on the long -term impact of locationmanagement issues on mobile and wireless environments and their design. The future for wireless and mobile computing ispromising indeed, especially since technological advances continue to support more sophisticated applications for theseenvironments.References[1] Guan-Chi Chen and Suh-Yin Lee, “Evaluation of Distributed and Replicated HLR for Location Management in PCSNetwork," Journal Of Information Science And Engineering 19, 85-101 (2003).[2] Rajeev R. Kumar Tripathi, Sudhir Agrawal and Swati Tiwari, “Performance Analysis of De-registration Strategy inPersonal Communication Network,” IJCA, vol.24-no.1, June 2011.[3] Rajeev R. Kumar Tripathi, Sudhir Agrawal and Swati Tiwari, “Modified HLR-VLR Location Management Scheme inPCS Network,” IJCA, vol.6-no.5, Sept 2010.[4] Sarvpal H. Singh, Sudhir Agrawal and Vijay Kumar “Performance Evaluation of Location Management Techniques inPCS Networks,” IJCA, vol.15, no-8, Feb-2011.[5] S. Mohan and R. Jain, “Two user location strategies for personal communication services,” IEEE PersonalCommunications, Vol. 1, 1994.[6] Haider Safa and Samuel Pierre, “A New Architecture for Improving Location management in PCS Network,” Journal ofComputer Science1 (2):249-258, 2005.[7] Sarvpal H. Singh, Sudhir Agrawal and C. Ramakrishna “Location Management optimization schemes for CellularSystem,” IJCA, vol.4, no-4, july-2010[8] Rajeev R. Kumar Tripathi, G S Chandel and Ravindra Gupta, “Multi HLR Architecture for improving locationmanagement in PCS Network,” IJCA, vol.51-no.20, August 2012.||Issn 2250-3005(online)|| ||December||2012|| Page 252
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