{"title":"Fuzzy Based Routing Algorithm for Congestion Control in Internet","authors":"N. Aggarwal, Deepak Gaur, Kunal Gupta","doi":"10.1109/CICN.2013.67","DOIUrl":null,"url":null,"abstract":"In this paper we propose a fuzzy based routing algorithm in which the link cost are dynamically assigned using a fuzzy system. Based on a set of fuzzy rules, link cost is dynamically assigned depending upon the current condition of the network. The proposed fuzzy scheme determines the integrity of a link given the current congestion state calculated via the delay experienced in the network and the offered load on the network. Delay and Queue length are the two inputs to the Fuzzy system. Delay was estimated by the time taken for the packets to travel between nodes and queue length is the number of packets waiting in the queue. The cost of a link for certain interval is the output of the fuzzy system. Simulations results showed that the fuzzy scheme offered improved performance in congestion avoidance.","PeriodicalId":415274,"journal":{"name":"2013 5th International Conference on Computational Intelligence and Communication Networks","volume":"93 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 5th International Conference on Computational Intelligence and Communication Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CICN.2013.67","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In this paper we propose a fuzzy based routing algorithm in which the link cost are dynamically assigned using a fuzzy system. Based on a set of fuzzy rules, link cost is dynamically assigned depending upon the current condition of the network. The proposed fuzzy scheme determines the integrity of a link given the current congestion state calculated via the delay experienced in the network and the offered load on the network. Delay and Queue length are the two inputs to the Fuzzy system. Delay was estimated by the time taken for the packets to travel between nodes and queue length is the number of packets waiting in the queue. The cost of a link for certain interval is the output of the fuzzy system. Simulations results showed that the fuzzy scheme offered improved performance in congestion avoidance.
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