Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  investigates the impact of ighting techniques combined with Grey Rational Analysis (GRA) when Multi-Attribute Decision Making (MADM) techniques are applied to wireless network vertical handover. The performance of the GRA algorithm is investigated with Analytical Hierarchy Process (AHP), Fuzzy AHP, Analytic Network Process (ANP), Random ighting (RW) and Least Square ighting (LSW) techniques for background, conversational, interactive, streaming classes of services. It is observed that the use of different ighting techniques for every traffic class results in widely varying performance in terms of percentage of network selection and ranking abnormalities. It is therefore concluded that when GRA is applied to vertical network handover, careful matching among different traffic classes and proper ighting techniques should be performed in order to optimize performance in terms of judicious selection of the best network with minimal ranking abnormality.
['Ali F. Almutairi', 'Mohamed Adnan Landolsi', 'Aliaa O. Al-Hawaj']
I am writing a research paper on a idea Weighting Selection in GRA-based MADM for Vertical Handover in Wireless Networks
[{"from": "human", "value": "I am writing a research paper on a idea Weighting Selection in GRA-based MADM for Vertical Handover in Wireless Networks"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  investigates the impact of ighting techniques combined with Grey Rational Analysis (GRA) when Multi-Attribute Decision Making (MADM) techniques are applied to wireless network vertical handover. The performance of the GRA algorithm is investigated with Analytical Hierarchy Process (AHP), Fuzzy AHP, Analytic Network Process (ANP), Random ighting (RW) and Least Square ighting (LSW) techniques for background, conversational, interactive, streaming classes of services. It is observed that the use of different ighting techniques for every traffic class results in widely varying performance in terms of percentage of network selection and ranking abnormalities. It is therefore concluded that when GRA is applied to vertical network handover, careful matching among different traffic classes and proper ighting techniques should be performed in order to optimize performance in terms of judicious selection of the best network with minimal ranking abnormality."}]