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A Cloud Evolution Based Handoff Decision Scheme with ABC Supported

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 279))

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Abstract

With wireless access technologies maturing, the wireless network environments have a characteristic of multiple networks overlapping, called heterogeneous wireless networks. As a key procedure of the always best connected (ABC) concept, handoff decision schemes need to consider with plenty of factors. Based on the game analysis and a cloud evolution algorithm, it is proposed that a cloud evolution-based handoff decision scheme with ABC supported to maximize user utility and network provider utility. Simulation results show that this scheme can search the optimal solution efficiently and has good performance.

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Acknowledgments

This work is supported by the National Science Foundation for Distinguished Young Scholars of China under Grant No. 61225012; the National Natural Science Foundation of China under Grant No. 61070162, No. 71071028, and No. 70931001; the Specialized Research Fund of the Doctoral Program of Higher Education for the Priority Development Areas under Grant No. 20120042130003; the Specialized Research Fund for the Doctoral Program of Higher Education under Grant No. 20100042110025 and No. 20110042110024; the Specialized Development Fund for the Internet of Things from the ministry of industry and information technology of the P.R. China; the Fundamental Research Funds for the Central Universities under Grant No. N110204003 and No. N120104001.

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Correspondence to Cheng-Bo Zhang .

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© 2014 Springer-Verlag Berlin Heidelberg

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Zhang, CB., Wang, XW., Huang, M. (2014). A Cloud Evolution Based Handoff Decision Scheme with ABC Supported. In: Wen, Z., Li, T. (eds) Practical Applications of Intelligent Systems. Advances in Intelligent Systems and Computing, vol 279. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54927-4_11

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  • DOI: https://doi.org/10.1007/978-3-642-54927-4_11

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-54926-7

  • Online ISBN: 978-3-642-54927-4

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