VERTICAL HANDOVER DECISION MANAGEMENT ON THE BASIS OF SEVERAL CRITERIA FOR LVQNN WITH UBIQUITOUS WIRELESS NETWORKS

2017 ◽  
Author(s):  
Sunisa Kunarak
Keyword(s):  
Wireless Networks ◽  
Vertical Handover ◽  
Handover Decision ◽  
Decision Management

Fuzzy based multi-criteria vertical handover decision modeling in heterogeneous wireless networks

2017 ◽  
Vol 76 (23) ◽  
pp. 24649-24674 ◽  
Author(s):  
Murad Khan ◽  
Awais Ahmad ◽  
Shehzad Khalid ◽  
Syed Hassan Ahmed ◽  
Sohail Jabbar ◽  
...  
Keyword(s):  
Wireless Networks ◽  
Heterogeneous Wireless Networks ◽  
Vertical Handover ◽  
Decision Modeling ◽  
Handover Decision

scholarly journals A fuzzy based vertical handover network selection scheme for device-to-device communication

2020 ◽  
Vol 17 (1) ◽  
pp. 324
Author(s):  
Meenakshi Subramani ◽  
Vinoth Babu Kumaravelu
Keyword(s):  
Wireless Networks ◽  
Vertical Handover ◽  
Multiple Attribute Decision Making ◽  
Network Selection ◽  
Selection Scheme ◽  
Handover Decision ◽  
Multiple Attribute ◽  
Device To Device ◽  
Simple Additive Weighting ◽  
The Impact

<p>One of the most attractive and challenging areas in the upcoming next-generation 5G wirelessnetworkistheverticalhandover(VHO).Recently,manyoftheheterogeneous wireless communication technologies are introduced to satisfy the demands of users in all situations. Due to the deployment of heterogeneous networks, the users can access the internet anywhere, anytime through different wireless networks. To obtain seamless service and service continuity, the device should be handed over to the best wireless networks. Here, a half handover scheme for Device-to-Device (D2D) communication is implemented for the selection of the best network. The target network selection for vertical handover can be handled using multiple attribute decision making (MADM) methods. An intelligent and fast vertical handover decision is much needed, which should be reliable even for random and uncertain environments. Fuzzy logic is proved to be effective in handling imprecise data. Hence, in this work, the impact of combining fuzzy with the conventional MADM scheme, simple additive weighting(SAW)isanalyzedandthehybridschemeiscomparedwiththeconventional MADM schemes like SAW, Techniques for order preference by similarity to ideal solution (TOPSIS), VlseKriterijumska optimizacija I Kompromisno Resenje (VIKOR) in terms of handover decision delay. Since, the numbers of handovers executed are low,thehandoverdecisiondelayperformanceoftheproposedschemeissuperiorthan the considered classical MADM schemes.</p>

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