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Basically, Vertical handover (VHO) decision relies on the selection of the ‘best’ available network that could meet the QoS requirements for the end-user. Therefore, a network selection mechanism is required to help mobile users choose the best network; that is, one that provides always best connected (ABC) that suits users needs and is able to change dynamically with the change in conditions. The definition of best depends on a number of different aspects such as user personal preferences, device size and capabilities, application requirements, security, present network traffic, and network signal strength. This work proposes to assign weight to all the above stated aspects so as to compute ABC. The novelty of this work is to exploit intelligent agents for weight calculations after analyzing the explored parameters for various networks. An analysis and a comparison of both services and factors for different networks are also provided in the paper.
Dr. Kailash Chander. 1970. \u201cA Novel Approach for Always Best Connected in Future Wireless Networks\u201d. Unknown Journal GJCST Volume 11 (GJCST Volume 11 Issue 15): .
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Total Score: 112
Country: India
Subject: Uncategorized
Authors: Dr. Kailash Chander, Dr. Dimple Juneja (PhD/Dr. count: 2)
View Count (all-time): 74
Total Views (Real + Logic): 20462
Total Downloads (simulated): 10765
Publish Date: 1970 01, Thu
Monthly Totals (Real + Logic):
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Basically, Vertical handover (VHO) decision relies on the selection of the ‘best’ available network that could meet the QoS requirements for the end-user. Therefore, a network selection mechanism is required to help mobile users choose the best network; that is, one that provides always best connected (ABC) that suits users needs and is able to change dynamically with the change in conditions. The definition of best depends on a number of different aspects such as user personal preferences, device size and capabilities, application requirements, security, present network traffic, and network signal strength. This work proposes to assign weight to all the above stated aspects so as to compute ABC. The novelty of this work is to exploit intelligent agents for weight calculations after analyzing the explored parameters for various networks. An analysis and a comparison of both services and factors for different networks are also provided in the paper.
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