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Best permutation: a novel network selection scheme in heterogeneous wireless networks

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IWCMC '09: Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly

Pages 894 - 899

https://doi.org/10.1145/1582379.1582574

Published: 21 June 2009 Publication History

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Abstract

Network selection in an environment of heterogeneous wireless networks (HWNs) has been widely studied, but mobility-related factors were not well considered by selection schemes in the literature. Since vertical handover (VHO) corresponds to permutation of networks, the selection of a network actually becomes the selection of a permutation when VHO properties are considered. In this paper, we propose a best permutation scheme (Basic Besper) for mobility-based network selection in a generic HWN environment and two methods (i.e. Simplified Besper and Enhanced Besper) to further improve the time complexity of Basic Besper. According to our performance evaluations, Bespers could always select the best network and permutation based on mobility-related factors and many advantages compared with classic best network schemes are demonstrated. Furthermore, the two methods (especially Enhanced Besper) could find the best network quite rapidly, which is important for the continuity of real-time applications during VHOs.

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Cited By

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Si-Mohammed SBegin TGuérin Lassous IVicat-Blanc P(2023)HINTS: A methodology for IoT network technology and configuration decisionInternet of Things10.1016/j.iot.2023.10067822(100678)Online publication date: Jul-2023
https://doi.org/10.1016/j.iot.2023.100678
Du ZJiang BWu QXu YXu KDu ZJiang BWu QXu YXu K(2019)Learning the Optimal Network with Handoff Constraint: MAB RL Based Network SelectionTowards User-Centric Intelligent Network Selection in 5G Heterogeneous Wireless Networks10.1007/978-981-15-1120-2_2(13-31)Online publication date: 7-Nov-2019
https://doi.org/10.1007/978-981-15-1120-2_2
Senouci MSouihi SHoceini SMellouk A(2016)QoE-based network interface selection for heterogeneous wireless networks: A survey and e-Health case proposal2016 IEEE Wireless Communications and Networking Conference10.1109/WCNC.2016.7564979(1-6)Online publication date: Apr-2016
https://doi.org/10.1109/WCNC.2016.7564979
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Index Terms

Best permutation: a novel network selection scheme in heterogeneous wireless networks
1. Networks
  1. Network properties
    1. Network range
      1. Local area networks
      2. Wide area networks
  2. Network services
    1. Network management

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Published In

IWCMC '09: Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly

June 2009

1561 pages

ISBN:9781605585697

DOI:10.1145/1582379

General Chairs:
Mohsen Guizani
Kuwait Univ. and Western Michigan University
,
Peter Mueller
IBM, Switzerland
,
Klaus-Peter Fähnrich
University of Leipzig, Germany
,
Program Chairs:
Athanasios (Thanos) Vasilakos
University of Western Macedonia, Greece
,
Yan Zhang
Simula Research Laboratory, Norway
,
Jun Zhang
University of Ottawa, Canada

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 21 June 2009

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IWCMC '09

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IWCMC '09: 2009 International Wireless Communications and Mobile Computing Conference

June 21 - 24, 2009

Leipzig, Germany

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Cited By

View all

Si-Mohammed SBegin TGuérin Lassous IVicat-Blanc P(2023)HINTS: A methodology for IoT network technology and configuration decisionInternet of Things10.1016/j.iot.2023.10067822(100678)Online publication date: Jul-2023
https://doi.org/10.1016/j.iot.2023.100678
Du ZJiang BWu QXu YXu KDu ZJiang BWu QXu YXu K(2019)Learning the Optimal Network with Handoff Constraint: MAB RL Based Network SelectionTowards User-Centric Intelligent Network Selection in 5G Heterogeneous Wireless Networks10.1007/978-981-15-1120-2_2(13-31)Online publication date: 7-Nov-2019
https://doi.org/10.1007/978-981-15-1120-2_2
Senouci MSouihi SHoceini SMellouk A(2016)QoE-based network interface selection for heterogeneous wireless networks: A survey and e-Health case proposal2016 IEEE Wireless Communications and Networking Conference10.1109/WCNC.2016.7564979(1-6)Online publication date: Apr-2016
https://doi.org/10.1109/WCNC.2016.7564979
Senouci MHoceini SMellouk A(2016)Utility function-based TOPSIS for network interface selection in Heterogeneous Wireless Networks2016 IEEE International Conference on Communications (ICC)10.1109/ICC.2016.7511563(1-6)Online publication date: May-2016
https://doi.org/10.1109/ICC.2016.7511563
Senouci MSenouci MHoceini SMellouk A(2016)An Evidential Approach for Network Interface Selection in Heterogeneous Wireless Networks2016 IEEE Global Communications Conference (GLOBECOM)10.1109/GLOCOM.2016.7841591(1-7)Online publication date: Dec-2016
https://doi.org/10.1109/GLOCOM.2016.7841591
Du ZWu QYang P(2016)Learning with handoff cost constraint for network selection in heterogeneous wireless networksWireless Communications & Mobile Computing10.1002/wcm.252516:4(441-458)Online publication date: 1-Mar-2016
https://dl.acm.org/doi/10.1002/wcm.2525
Wang LKuo G(2013)Mathematical Modeling for Network Selection in Heterogeneous Wireless Networks — A TutorialIEEE Communications Surveys & Tutorials10.1109/SURV.2012.010912.0004415:1(271-292)Online publication date: Sep-2014
https://doi.org/10.1109/SURV.2012.010912.00044

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