Network service quality rank: A network selection algorithm for heterogeneous wireless networks

High-speed wireless services have achieved remarkable rates of growth in recent years. In order to survive in this competitive market, high levels of service performance are an effective way to improve customer satisfaction and loyalty. This paper aims to identify the best service provider in a heterogeneous wireless network so that we differentiate the quality of service (QoS) and provide a framework for analytical performance evaluation. This problem is considered a ranking problem in Multi-Criteria Decision Making, and so we formulize a novel method to compute collaboration performance utility for each provider. The compromise ranking technique (called VIKOR) is used to aggregate all utility values on alternatives and computes the best level of service among providers. The experimental evaluation results demonstrate the computational efficacy of the solution approaches and derive managerial insights.