Open AccessNeuro-fuzzy Architecture for Handover Decision Making in Emerging Heterogeneous Networks
Author(s) -
Saida Driouache,
Najib Naja,
Abdellah Jamali
Publication year - 2021
Publication title -
ecti transactions on computer and information technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.132
H-Index - 2
ISSN - 2286-9131
DOI - 10.37936/ecti-cit.2021153.242440
Subject(s) - handover , fuzzy logic , computer science , architecture , reliability (semiconductor) , quality of service , artificial neural network , quality (philosophy) , vertical handover , power (physics) , artificial intelligence , computer network , distributed computing , heterogeneous network , telecommunications , wireless network , wireless , art , philosophy , physics , epistemology , quantum mechanics , visual arts
In emerging heterogeneous networks, seamless vertical handover is a critical issue. There must be a trade-off between the handover decision delay and accuracy. This paper’s concern is to contribute to reliable vertical handover decision making that makes a trade-off between complexity and effectiveness. So, the paper proposes a neuro-fuzzy architecture that joints the capacity of learning of the artificial neural networks with the power of linguistic interpretation of the fuzzy logic. The architecture can learn from experience how executing a handover to a particular access network affects the quality of service. Simulation results reveal that this architecture is fast, enhances the overall performance and reliability better than the fuzzy logic-based approach.