{"title":"Intelligent Controller based Host-to-Host Congestion Control: Fuzzy Logic Controller","authors":"Doaa H. Esawi, G. Attiya, M. El-Bardini","doi":"10.1109/JAC-ECC48896.2019.9051220","DOIUrl":null,"url":null,"abstract":"This paper employs an intelligent control technique (Fuzzy logic) in the area of Internet congestion control. Generally, congestion problem occurs when traffic load increases. This problem decreases network utilization and increases traffic delay. Hence, an intelligent congestion control is required to avoid the mentioned problem. Nevertheless, the main challenge in utilizing fuzzy controller is how to choice the number of membership functions. A greater resolution is achieved with a large number of membership functions. In this paper, two different cases as considered: the first case employs 3-memberships while the second case employs 5-memberships. The proposed controller is evaluated by using NS2 simulation tool and the results are compared with the most recent protocols. The results indicate that the proposed controller increases the throughput and decreases both the packet loss and packet delay.","PeriodicalId":351812,"journal":{"name":"2019 7th International Japan-Africa Conference on Electronics, Communications, and Computations, (JAC-ECC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 7th International Japan-Africa Conference on Electronics, Communications, and Computations, (JAC-ECC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/JAC-ECC48896.2019.9051220","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Intelligent Controller based Host-to-Host Congestion Control: Fuzzy Logic Controller
This paper employs an intelligent control technique (Fuzzy logic) in the area of Internet congestion control. Generally, congestion problem occurs when traffic load increases. This problem decreases network utilization and increases traffic delay. Hence, an intelligent congestion control is required to avoid the mentioned problem. Nevertheless, the main challenge in utilizing fuzzy controller is how to choice the number of membership functions. A greater resolution is achieved with a large number of membership functions. In this paper, two different cases as considered: the first case employs 3-memberships while the second case employs 5-memberships. The proposed controller is evaluated by using NS2 simulation tool and the results are compared with the most recent protocols. The results indicate that the proposed controller increases the throughput and decreases both the packet loss and packet delay.