Development of Efficient Vertical Handover Strategy for Network Selection Using Multi-attribute Decision Making

Authors

  • Prof. Piyush K Ingole  G. H. Raisoni COE, Nagpur, India
  • 2Prof. Apeksha V. Sakhare  

Keywords:

Vertical Handover Strategy

Abstract

This paper presents the development of an efficient vertical handover strategy utilizing multi-attribute decision-making techniques for optimized network selection. It elaborates the usage of adaptive algorithms and incorporation of fuzzy logic for managing uncertain network scenarios and varying user requirements. The paper validates the efficiency of these techniques through numerous case studies which demonstrated improved accuracy in network selection and increased user satisfaction. However, it also discusses the challenges encountered, such as the handling of imprecision, decision-making complexity, and the necessity for context-aware approaches. Despite these challenges, it concludes that the combination of these techniques could significantly enhance user experiences and overall network performance in a heterogeneous network setting. Therefore, the development and implementation of efficient vertical handover strategies serve as a critical area of research in the telecommunications field.

References

  1. Rami Tawil ,Guy Pujolle, O. Salazar “A Vertical Handoff Decision Scheme in Heterogeneous Wireless Systems” June 2008
  2. Adnan Mahmood,Hushairi Zen,Al-Khalid Othman “Vertical Handover Decision Processes for Fourth Generation Heterogeneous Wireless Networks” Dec 2013
  3. H. Xu, J. Gao, H. Hu, D. Yuan and J. Ran, "A Power-Optimized Handover strategy in Hybrid Satellite-Terrestrial Networks".12/2015
  4. E. M. Malathy ,Vijayalakshmi Muthuswamy “napsack - TOPSIS Technique for Vertical Handover in Heterogeneous Wireless Network” 2015
  5. M. Malathy ,Vijayalakshmi Muthuswamy "Knapsack - TOPSIS Technique for Vertical Handover in Heterogeneous Wireless Network".08/2015
  6. Q. Ye, B. Rong, Y. Chen, M. A. Shalash, C. Caramanis, J. G. Andrews, “User association for load balancing i n heterogeneous cellular networks”, IEEE Transactions on Wireless Communications, Vol. 12, No. 6, pp. 2706-2716, 2013
  7. K. Raivio, O. Simula, J. Laiho, P. Lehtimaki, “A nalysis of Mobile Radio Access Network Using the Self-Organizing Map”, 8th International Symposium on Integrated Network Management, Colorado Springs, USA, March 24–28, 2003
  8. X. Huang, U. Behr, W. Wiesbeck, “ Automatic Base Station Placement and Dimensioning for Mobile Network Planning”, 52nd Vehicular Tchnology Conference, Boston, USA, March 24–28, 2003
  9. A. Ayesh, M. Alkhawlani, “ Access Network Selection Based on Fuzzy Logic and Genetic Algorithms”, Association for Computing Machinery, Vol. 2008, Article ID 793058, 2008
  10. G. A. Barreto, J. C. M. Mota, L. G. M. Souza, R. A. Frota, L . Aguayo, “Condition monitoring of 3G cellular networks through competitive neural models”, IEEE Transactions on Neural N etworks, Vol. 16, No. 5, pp. 1064-1075, 2005
  11. S. L. Ramorez, M. Toril, F. Ruiz, M. F. Navarro, “Adjustment of a Fuzzy Logic Controller for I S-HO Parameters in a Heterogeneous Scenario”, 14th IEEE Mediterranean Electrotechnical Confer ence, Ajaccio, France, May 5 -7, 2008
  12. P. M. d’Orey, M. G. Luzano, M. Ferreira, “Automatic Link Balancing using Fuzzy Logi c Control of Handover Parameter”, 21st Annual IEEE International Symposium on Personal, Indoor and Mobile R adio Communications, Istanbul, Turkey, September 26–30, 2010
  13. H. Fayyazi, M. Sabokrou, “An Evolvable Fuzzy Logic System for Handoff M anagement i n Heterogeneous Wireless Networks”, 2nd International Conference on Computer and K nowledge Engineeri ng, Mashland, Iran, October 18–19, 2012

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Published

2018-07-30

Issue

Section

Research Articles

How to Cite

[1]
Prof. Piyush K Ingole, 2Prof. Apeksha V. Sakhare, " Development of Efficient Vertical Handover Strategy for Network Selection Using Multi-attribute Decision Making, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 3, pp.974-986, May-June-2017.