Mobile traffic evaluation for fuzzy-based application using Green Ajax

Green Ajax previously has been proved to be a suitable approach for infrequent updates applications. The low bandwidth requirement, high Successful Receptive Percentage (SRP), and low Data Loss Percentage (DLP) assure that Green Ajax outperforms comparable to Classic Ajax. It is also proved that Green Ajax is a good approach for frequent updates applications. The introduction of the Green Ajax to mobile-based applications will be highly beneficial in terms of cost savings and less resources as lower transmission of traffic. The paper will focus the traffic of web-based mobile applications as Green Ajax is employed. Fuzzy-based applications are also considered in order to cope with the practical conditions. It is common in reality that each basic type of three traffics, which are high, medium and low, will be overlapping. Fuzzy Inference System by Sugeno is utilized to solve these ambiguous conditions. In this paper, Green Ajax will be proposed into the web-based mobile environment. In comparison to classic Ajax, results confirm that the Green Ajax requires lower bandwidth as realtime data update from the server to the handheld units. These experimental results demonstrate that Green Ajax can help save transmission costs and requires a smaller amount resource for the web-based applications over mobile communication.