Abstract
This paper proposes a network selection solution that is user location- and knowledge-based, aiming to diversify by choosing the best value network in a wireless network environment, improving video delivery. When multi-attribute decision making (MADM) techniques are used for wireless network vertical approval, the impact of weighting techniques combined with Gray Rational Analysis (GRA) is studied. Performance analysis of the GRA algorithm is conducted for hierarchical, background, conversational, interactive, and streaming classes of services using Random Weighting (RW) and Least Square Weight (LSW) techniques. In the MCDM context, multiple alternatives (e.g., wireless networks) refer to attributes such as Network 1, Network 2, Network 3, Network 4, and Network 5. Delay (msec), Jitter (msec), BER (x 10), Throughput (kbps), and Cost (units) are used as evaluation methods. In this type of analysis, gray relational analysis (GRA) methods determine the best solution for negative short distances and very long distances to settlement, but do not consider the relative importance of these distances. As a result, Wireless Network 5 ranked first, and Wireless Network 4 ranked the lowest.
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