Fuzzy Neural Networks in Vertical Handover Technology for Next Generation In Wireless Networks
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Abstract
Wireless communications has evoked a revolution in the communications industry, with the potential to provide high-speed highquality
information exchange. Currently, there are several wireless networks deployed around the world like cellular networks,
metropolitan area networks, wireless local area networks, heterogeneous wireless networks and personal area networks etc. Wireless
network devices are equipped with multiple access technologies like UMTS and Wireless LAN. The combination of all these networks is
usually called the next generation wireless networks. New state-of-the-art mobile terminals will allow users to free movement and also
enable them to switch connections among different access networks. This process named vertical handover imposes important technical
challenges for the emerging next generation wireless networks. This paper explores the concept of vertical handover and its classification.
It also highlights the differences with traditional handover. The following section of the paper focuses on implementing fuzzy logic to solve
several routing protocols and handover problems efficiently in wireless networks.
Keywords: vertical handover, vertical handoff, handover decision algorithm, Next Generation wireless networks, horizontal handover,
WiMAX, UMTS, 3G, Fuzzy logic, BFNN, neuro fuzzy systems.
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