Vertical handover decision using history-based communication graph for heterogeneous networks

Author(s):  
Bushra Naeem ◽  
Razali Ngah ◽  
Siti Z. Mohd Hashim ◽  
Wajahat Maqbool
Author(s):  
Saida DRIOUACHE ◽  
Najib Naja ◽  
Abdellah Jamali

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.


Author(s):  
Adada Edia ◽  
Opeyemi Osanaiye ◽  
Folayo Aina ◽  
Olayinka Ogundile

2017 ◽  
Vol 21 (7) ◽  
pp. 1521-1524 ◽  
Author(s):  
Shufei Liang ◽  
Yuexia Zhang ◽  
Bo Fan ◽  
Hui Tian

The vertical handover decision strategy is a challenging problem to support seamless mobility in different wireless technology. The handover decision process is reported to facilitate the required Quality of Service, but bad network selection and overload condition of the chosen network fallout in handover failures. Traditional handoff techniques typically are based on single parameter and are inefficient due to superfluous handovers. In addition, existing fuzzy based handoff method reduces the handover failures but increase the computational complexity. Furthermore, the existing mobile controlled handover techniques are not suitable for heterogeneous environment. Therefore this paper focus the need of efficient, robust and flexible vertical handover technique to reduce the handover failures and design an MADM based network controlled handover that maximize QoS in heterogeneous environment


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