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Artificial Bee Colony for Vertical-Handover in Heterogeneous Wireless Networks

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Advanced Computer and Communication Engineering Technology

Abstract

Heterogeneous wireless networks are converging towards an all-IP network as part of the so-called next-generation network. In this paradigm, different access technologies need to be interconnected; thus, vertical handovers are necessary for seamless mobility. In this paper, an artificial bee colony (ABC) algorithm for real-time vertical handover using different objective function has been presented to find the optimal network to connect. It can select an optimal set of weights for specified values, and find the optimal network selection solution. Simulation results illustrate that the proposed ABC algorithm has better performances than the existing methods in many evaluating parameters, and the computational time is also minimized.

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References

  1. Paul, S., Pan, J., Jain, R.: Architectures for the future networks and the next generation internet: a survey. Comput. Commun. 34(1), 242 (2011)

    Article  Google Scholar 

  2. Ahmed, A., et al.: Enabling vertical handover decisions in heterogeneous wireless networks: a state-of-the-art and a classification. Commun. Surv. Tutorials IEEE 16, 776–811 (2014)

    Google Scholar 

  3. TalebiFard, P., Wong, T., Leung, V.C.M.: Access and service convergence over the mobile internet—a survey. Comput. Netw. 54(4), 545557 (2010)

    Article  MATH  Google Scholar 

  4. Rakovic, V., Gavrilovska, L.: Novel RAT selection mechanism based on Hopfield neural networks. In: IEEE International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT) (2010)

    Google Scholar 

  5. ÇAlhan, A., ÇEken, C.: Case study on handoff strategies for wireless overlay networks. Comput. Stand. Interfaces 35(1), 170–178 (2013)

    Google Scholar 

  6. Chandralekha, P.B., Praffula, K.B.: Minimization of number of handoff using genetic algorithm in heterogeneous wireless networks. Int. J. Latest Trends Comput 1(2), 24–28 (2010)

    Google Scholar 

  7. Çalhan, A., Çeken, C.: Artificial neural network based vertical handoff algorithm for reducing handoff latency. Wireless Pers. Commun. 71(4), 2399–2415 (2013)

    Article  Google Scholar 

  8. Nasser, N., Hasswa, A., Hassanein, H.: Handoffs in fourth generation heterogeneous networks. Commun. Mag. IEEE 44(10), 96–103 (2006)

    Article  Google Scholar 

  9. Jaraíz-Simon, M.D., et al.: Simulated annealing for real-time vertical-handoff in wireless networks. In: Advances in Computational Intelligence, pp 198–209. Springer, Berlin, Heidelberg (2013)

    Google Scholar 

  10. McNair, Janise, Zhu, Fang: Vertical handoffs in fourth-generation multinetwork environments. Wirel. Commun. IEEE 11(3), 8–15 (2004)

    Article  Google Scholar 

  11. Karaboga, D.: (2005) An idea based on honey bee swarm for numerical optimization. Technical Report, Computer Engineering Department, Engineering Faculty, Erciyes University

    Google Scholar 

  12. A comprehensive survey: artificial bee colony (ABC) algorithm and applications

    Google Scholar 

  13. Jaraz-Simon, M.D., Gomez-Pulido, J.A., Vega-Rodriguez, M.A., Sanchez-Perez, J.M.: Fast decision algorithms in low-power embedded processors for quality-of-service based connectivity of mobile sensors in heterogeneous wireless sensor networks. Sensors 12(2), 1612–1624 (2012)

    Article  Google Scholar 

  14. Karaboga, Dervis, Okdem, Selcuk, Ozturk, Celal: Cluster based wireless sensor network routing using artificial bee colony algorithm. Wirel. Netw. 18(7), 847–860 (2012)

    Article  Google Scholar 

  15. Zhu, F., McNair, J.: Optimizations for vertical handoff decision algorithms. In: IEEE Wireless Communications and Networking Conference, WCNC, vol. 2. IEEE (2004)

    Google Scholar 

  16. Jaraiz-Simon, M.D., Gomez-Pulido, J.A., Vega-Rodriguez, M.A.: Embedded intelligence for fast QoS-based vertical handoff in heterogeneous wireless access networks. Pervasive Mobile Comput (2014)

    Google Scholar 

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Correspondence to Shidrokh Goudarzi .

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Goudarzi, S., Hassan, W.H., Soleymani, S.A., Zakaria, O., Jivanadham, L.B. (2016). Artificial Bee Colony for Vertical-Handover in Heterogeneous Wireless Networks. In: Sulaiman, H., Othman, M., Othman, M., Rahim, Y., Pee, N. (eds) Advanced Computer and Communication Engineering Technology. Lecture Notes in Electrical Engineering, vol 362. Springer, Cham. https://doi.org/10.1007/978-3-319-24584-3_25

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  • DOI: https://doi.org/10.1007/978-3-319-24584-3_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24582-9

  • Online ISBN: 978-3-319-24584-3

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