Performance Evaluation of Reconfigurable TCP Communication on Wi-Fi Network Using GE Channel Model

Recently, many commercial cloud-computing services have rapidly evolved to process and back up large volumes of data. With wireless broadband networks also gaining popularity, users increasingly access cloud services using mobile devices and wearable devices for interactive communication, such as remote desktops and augmented reality (AR) applications. In many cases, interactive applications use the TCP protocol between a server and a mobile device. However, end-to-end TCP sessions are easily influenced by packet losses in wireless networks and long delays on international lines, which may degrade communication quality. To cope with these problems, we propose a dynamic TCP communication method that improves the response for interactive communication by dynamically changing congestion control algorithms in accordance with changes in network quality and application characteristics. In this paper, we implement the proposed method on the NS-3 network simulator and evaluate it by using the GE (Gilbert-Eliott) channel model, assuming that the method is applied to a Wi-Fi network. We find that our method improves response time for interactive communication with a remote desktop to the level where users will not feel uncomfortable.