FeedBack Flow Control for Network Congestion Using Fuzzy Logic

• Main Authors: Wang, Jung Jiunn, 王忠俊
• Other Authors: Ypchu
• Format: Others
• Language: zh-TW
• Published: 1996
• Online Access: http://ndltd.ncl.edu.tw/handle/83116566972573753364

碩士 === 國立中興大學 === 應用數學系 === 84 === For two reasons , we adopt the fuzzy logic to control the traffic flow .Conventionally , we linearly adjust the window to control the traffic allowedinto the network .It may cause the under utilization in the high speed networkdue to its conservative control strategy. Another reason is the use of binaryor limited number of explicit feedbacks is too sharp to get the optimal perfo-rmance . So , we try to use the nonlinear control ( fuzzy logic control ) themore aggressive strategy, to acquire the more optimal performance. Using information from both the router (the explicit congestion feed-back) , and the sou-rce ( the window size ) ,the fuzzy control can easily andquickly get the opti-mal operational point to improve the performance . We use various topology to verify the fuzzy ongestion control scheme and prove the scheme is roubst for complex and changeable network eniroment. Moreover,by the simulation we can get the better performance in the real-world network model with large bandwidth-delay product and finite source .