{"title":"LCRACO -一种新的基于蚁群优化的负载和拥塞控制路由","authors":"R. Chaki, D. Sinha","doi":"10.1109/ICCITECHN.2008.4803129","DOIUrl":null,"url":null,"abstract":"Designing efficient, cost-effective routing solutions for the infrastructure-less MANETs remains a daunting task till date. A proven optimization technique, the Ant colony optimization has been used in this paper to find the optimum in terms of the shortest route in a MANET. Special attention has been given to the load balancing and congestion control in the network. The simulated performance graphs show an improved congestion control for the proposed routing protocol.","PeriodicalId":335795,"journal":{"name":"2008 11th International Conference on Computer and Information Technology","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"LCRACO - A new load and congestion controlled routing based on ant colony optimization\",\"authors\":\"R. Chaki, D. Sinha\",\"doi\":\"10.1109/ICCITECHN.2008.4803129\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Designing efficient, cost-effective routing solutions for the infrastructure-less MANETs remains a daunting task till date. A proven optimization technique, the Ant colony optimization has been used in this paper to find the optimum in terms of the shortest route in a MANET. Special attention has been given to the load balancing and congestion control in the network. The simulated performance graphs show an improved congestion control for the proposed routing protocol.\",\"PeriodicalId\":335795,\"journal\":{\"name\":\"2008 11th International Conference on Computer and Information Technology\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 11th International Conference on Computer and Information Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCITECHN.2008.4803129\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 11th International Conference on Computer and Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCITECHN.2008.4803129","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
LCRACO - A new load and congestion controlled routing based on ant colony optimization
Designing efficient, cost-effective routing solutions for the infrastructure-less MANETs remains a daunting task till date. A proven optimization technique, the Ant colony optimization has been used in this paper to find the optimum in terms of the shortest route in a MANET. Special attention has been given to the load balancing and congestion control in the network. The simulated performance graphs show an improved congestion control for the proposed routing protocol.
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