Please use this identifier to cite or link to this item: https://ir.swu.ac.th/jspui/handle/123456789/13435
ชื่อเรื่อง: Vertical Handover Decision Based on RBF Approach for Ubiquitous Wireless Networks
ผู้แต่ง: Kunarak S.
Keywords: Backpropagation
Decision making
Functions
Neural networks
Radial basis function networks
Radio systems
Wireless networks
Back propagation neural networks
heterogeneous
Next-generation wireless network
Radial basis function neural networks
Radial basis functions
Ubiquitous wireless networks
Vertical handover decisions
Wireless access technology
Next generation networks
วันที่เผยแพร่: 2016
บทคัดย่อ: Next generation wireless networks are integrated the multiple wireless access technologies in order to provide the users with the best connection. The vertical handover decision algorithm is an important role to guarantee the seamless mobility in single mobile terminal. In this paper, we apply the radial basis function neural network (RBFNN) for the decision making process in vertical handover based on received signal strength, mobile speed and monetary cost metrics. The simulation results indicate that the proposed approach outperforms in reducing the unnecessary handover and connection dropping but increasing the grade of service with comparing the other two methods as threshold and back propagation neural network. © 2016 IEEE.
URI: https://ir.swu.ac.th/jspui/handle/123456789/13435
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84968612820&doi=10.1109%2fPlatCon.2016.7456839&partnerID=40&md5=40b90ba706f74568875f745e15588ff7
Appears in Collections:Scopus 1983-2021

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