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International Internet of Things Summit

IoT360 2015: Internet of Things. IoT Infrastructures pp 437–442Cite as

An Adaptive QoE-Based Network Interface Selection for Multi-homed eHealth Devices

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Abstract

Conventional network control mechanisms are no longer suitable for Internet of Things (IoT) because they don’t allow scalability with a guarantee of Quality of Experience (QoE) especially when it comes to the health sector characterized by its real time and critical life aspects. That’s why we need to think differently about control. One aspect consists of improving the network accessibility by considering Multi-homed terminals using multiple network access points simultaneously. In this paper we present a new Q-Learning-based adaptive network interface selection approach. Experimental results show that the proposed approach involve QoE compared to a simple linear programming approach. abstract environment.

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References

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Author information

Authors and Affiliations

  1. Image, Signal and Intelligent Systems Lab (LiSSi), Network and Telecoms Dept, IUT CV, University of Paris-Est Crteil Val de Marne (UPEC), 122 rue Paul Armangot, 94400, Vitry sur Seine, France

    Sami Souihi, Mohamed Souidi & Abdelhamid Mellouk

Authors
  1. Sami Souihi
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  2. Mohamed Souidi
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  3. Abdelhamid Mellouk
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Corresponding author

Correspondence to Sami Souihi .

Editor information

Editors and Affiliations

  1. IBM Research, Haifa, Israel

    Benny Mandler

  2. CONNECT Centre, Trinity College, University of Dublin, Dublin, Ireland

    Johann Marquez-Barja

  3. GTA/PEE-COPPE/DEL-Poli, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil

    Miguel Elias Mitre Campista

  4. Faculty of Materials Science and Technology in Trnava, Slovak University of Technology in Bratislava, Trnava, Slovakia

    Dagmar Cagáňová

  5. Institut Télécom SudParis, Evry, France

    Hakima Chaouchi

  6. College of Communication and Information, University of Kentucky, Lexington, KY, USA

    Sherali Zeadally

  7. College of Technological Innovation, Zayed University, Dubai, United Arab Emirates

    Mohamad Badra

  8. University of Pisa, Pisa, Holy See (Vatican City State)

    Stefano Giordano

  9. DICIEAMA Department, University of Messina, Messina, Italy

    Maria Fazio

  10. CREATE-NET, Trento, Italy

    Andrey Somov

  11. University of Trento, Trento, Italy

    Radu-Laurentiu Vieriu

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© 2016 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Cite this paper

Souihi, S., Souidi, M., Mellouk, A. (2016). An Adaptive QoE-Based Network Interface Selection for Multi-homed eHealth Devices. In: Mandler, B., et al. Internet of Things. IoT Infrastructures. IoT360 2015. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 169. Springer, Cham. https://doi.org/10.1007/978-3-319-47063-4_45

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  • DOI: https://doi.org/10.1007/978-3-319-47063-4_45

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-47062-7

  • Online ISBN: 978-3-319-47063-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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