HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
Conference papers

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

S. Souihi 1 M. Souidi 1 A Mellouk 1
1 CIR
LISSI - Laboratoire Images, Signaux et Systèmes Intelligents
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.
Keywords : ICT health Internet of things (IoT) Mean opinion score (MOS) Multi-homed devices Q-learning Quality of experience Reinforcement learning
Document type :
Conference papers
Complete list of metadata
https://hal.archives-ouvertes.fr/hal-01676590
Contributor : Yacine Amirat Connect in order to contact the contributor
Submitted on : Friday, January 5, 2018 - 5:44:40 PM
Last modification on : Tuesday, October 19, 2021 - 4:10:12 PM

Identifiers

  • HAL Id : hal-01676590, version 1

Collections

UPEC-UPEM | LISSI | UPEC

Citation

S. Souihi, M. Souidi, A Mellouk. An Adaptive QoE‐Based Network Interface Selection for Multi‐homed eHealth Devices. Proc. Of the 2nd international submmit Internet of Things. IoT Infrastructures, IoT 360° 2015, 2015, Roma, Italy. pp.437-442. ⟨hal-01676590⟩

Export

BibTeX TEI DC DCterms EndNote Datacite

Share

Metrics

Record views

30