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QL-CBR Hybrid Approach for Adapting Context-Aware Services

Somia Belaidouni1,2, Moeiz Miraoui3,4,*, Chakib Tadj1

1 Ecole de Technologie Supérieure, Montréal, QCH3C1K3, Canada
2 Faculty of Exact and Applied Sciences, University of Oran 1, Oran, 31000, Algeria
3 Higher Institute of Sciences and Technologies, University of Gafsa, Gafsa, 2100, Tunisia
4 AL-Lith Computer College, Umm Al-Qura University, Al-Lith, 28434, Saudi Arabia

* Corresponding Author: Moeiz Miraoui. Email: email

Computer Systems Science and Engineering 2022, 43(3), 1085-1098. https://doi.org/10.32604/csse.2022.024056

Abstract

A context-aware service in a smart environment aims to supply services according to user situational information, which changes dynamically. Most existing context-aware systems provide context-aware services based on supervised algorithms. Reinforcement algorithms are another type of machine-learning algorithm that have been shown to be useful in dynamic environments through trial-and-error interactions. They also have the ability to build excellent self-adaptive systems. In this study, we aim to incorporate reinforcement algorithms (Q-learning) into a context-aware system to provide relevant services based on a user’s dynamic context. To accelerate the convergence of reinforcement learning (RL) algorithms and provide the correct services in real situations, we propose a combination of the Q-learning and case-based reasoning (CBR) algorithms. We then analyze how the incorporation of CBR enables Q-learning to become more efficient and adapt to changing environments by continuously producing suitable services. Simulation results demonstrate the effectiveness of the proposed approach compared to the traditional CBR approach.

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APA Style
Belaidouni, S., Miraoui, M., Tadj, C. (2022). QL-CBR hybrid approach for adapting context-aware services. Computer Systems Science and Engineering, 43(3), 1085-1098. https://doi.org/10.32604/csse.2022.024056
Vancouver Style
Belaidouni S, Miraoui M, Tadj C. QL-CBR hybrid approach for adapting context-aware services. Comput Syst Sci Eng. 2022;43(3):1085-1098 https://doi.org/10.32604/csse.2022.024056
IEEE Style
S. Belaidouni, M. Miraoui, and C. Tadj "QL-CBR Hybrid Approach for Adapting Context-Aware Services," Comput. Syst. Sci. Eng., vol. 43, no. 3, pp. 1085-1098. 2022. https://doi.org/10.32604/csse.2022.024056



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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