Skip to main content
SpringerLink
Log in

A Quantum-Inspired Immune Clonal Algorithm Based Handover Decision Mechanism with ABC Supported

  • Conference paper
  • First Online:
Advanced Intelligent Computing Theories and Applications (ICIC 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9227))

Included in the following conference series:

  • 2965 Accesses

Abstract

In this paper, we propose a QIICA (Quantum-Inspired Immune Clonal Algorithm) based handover decision mechanism with ABC (Always Best Connected) supported. We first utilize fuzzy mathematics and microeconomics to describe application types, QoS (Quality of Service) requirements, access networks and terminals. Then, we present the optimal handover solution of assigning N terminals to M access networks based on the QIICA. At last, we evaluate the handover decision mechanism and make a comparison with the existing mechanisms. Evaluation results show that our mechanism is feasible and effective.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Gustafsson, E., Jonsson, A.: Always best connected. IEEE Wirel. Commun. 10(1), 49–55 (2003)

    Article  Google Scholar 

  2. Wang, X., Cheng, H., Huang, M.: QoS multicast routing protocol oriented to cognitive network using competitive coevolutionary algorithm. Expert Syst. Appl. 41(10), 4513–4528 (2014)

    Article  Google Scholar 

  3. Roy, S.D., Anup, S.: Received signal strength based vertical handoff algorithm in 3G cellular network. In: IEEE International Conference on Signal Processing, Communication & Computing, pp. 326–330, Hongkong (2012)

    Google Scholar 

  4. Singhrova, A., Prakash, N.: Vertical handoff decision algorithm for improved quality of service in heterogeneous wireless networks. IET Commun. 6(2), 211–223 (2012)

    Article  MATH  MathSciNet  Google Scholar 

  5. Ramirez-Perez, C., Ramos, R.V.M.: A QoS hierarchical decision scheme for vertical handoff. In: IEEE International Caribbean Conference on Devices, Circuits & Systems, pp. 1–4, San Francisco (2012)

    Google Scholar 

  6. Vasu, K., Maheshwari, S., Mahapatra, S., Kumar, C.S.: QoS aware fuzzy rule based vertical handoff decision algorithm for wireless heterogeneous networks. In: IEEE National Conference on Communications, pp.1–5, Washington D.C. (2011)

    Google Scholar 

  7. Jiang, Y., Hu, B., Chen, S.: User-network association optimization in heterogeneous wireless networks: a population game-based approach. Chin. J. Comput. 35, 1249–1261 (2012). (in Chinese)

    Article  Google Scholar 

  8. Zhu, S., Liu, F., Chai, Z., Qi, Y., Wu, J.: Simple harmonic oscillator immune optimization algorithm for solving vertical handoff decision problem in heterogeneous wireless network. Acta Physica Sinica 61(9), 1–10 (2012). (in Chinese)

    Google Scholar 

  9. Çalhan, A., Çeken, C.: Case study on handoff strategies for wireless overlay networks. Comput. Stan. Interfaces 35(1), 170–178 (2013)

    Article  Google Scholar 

  10. Wang, X., Cheng, H., Huang, M.: Multi-robot navigation based QoS routing in self-organizing networks. Eng. Appl. Artif. Intell. 26(1), 262–272 (2013)

    Article  Google Scholar 

  11. Xie, X., Wang, X., Wen, Z., Huang, M.: A QoS routing protocol for cognitive networks. Chin. J. Comput. 36(9), 1807–1815 (2013). (in Chinese)

    Article  Google Scholar 

  12. Gallardo-Medina, J.R., Pineda-Rico, U., Stevens-Navarro, E.: VIKOR method for vertical handoff decision in beyond 3G wireless networks. In: IEEE 6th International Conference on Electrical Engineering, Computing Science and Automatic Control, pp. 1–5, Toluca (2009)

    Google Scholar 

  13. Chang, C.J., Tsai, T.L., Chen, Y.H.: Utility and game-theory based network selection scheme in heterogeneous wireless networks. In: IEEE Wireless Communications and Networking Conference, pp. 1–5, Budapest (2009)

    Google Scholar 

Download references

Acknowledgment

This work is supported by the National Science Foundation for Distinguished Young Scholars of China under Grant No. 61225012 and No. 71325002; the Specialized Research Fund of the Doctoral Program of Higher Education for the Priority Development Areas under Grant No. 20120042130003; Liaoning BaiQianWan Talents Program under Grant No. 2013921068

Author information

Authors and Affiliations

  1. College of Information Science and Engineering, Northeastern University, Shenyang, China

    Tingting Liu, Xingwei Wang, Fuliang Li & Min Huang

Authors
  1. Tingting Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Xingwei Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Fuliang Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Min Huang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Tingting Liu .

Editor information

Editors and Affiliations

  1. Tongji University, Shanghai, China

    De-Shuang Huang

  2. Incheon, Korea (Republic of)

    Kyungsook Han

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Liu, T., Wang, X., Li, F., Huang, M. (2015). A Quantum-Inspired Immune Clonal Algorithm Based Handover Decision Mechanism with ABC Supported. In: Huang, DS., Han, K. (eds) Advanced Intelligent Computing Theories and Applications. ICIC 2015. Lecture Notes in Computer Science(), vol 9227. Springer, Cham. https://doi.org/10.1007/978-3-319-22053-6_59

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-22053-6_59

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-22052-9

  • Online ISBN: 978-3-319-22053-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation