{"title":"An Ant Colony System Based Routing Algorithm for Wireless Sensor Network","authors":"Li Luo, La-yuan Li","doi":"10.1109/ICCSEE.2012.145","DOIUrl":null,"url":null,"abstract":"Routing problem in wireless sensor networks is a hot research. Researchers have been searching for a good algorithm. Ant colony algorithm is robust, positive feedback, distributed. It has excellent performance in solving many complex optimization problems. This paper improves the ant colony optimization algorithm with the consideration of nodes energy, network latency, packet loss rate and other QoS requirements. Experiment simulation results proved the feasibility and effectiveness of the improved algorithm.","PeriodicalId":132465,"journal":{"name":"2012 International Conference on Computer Science and Electronics Engineering","volume":"30 3","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 International Conference on Computer Science and Electronics Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSEE.2012.145","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 13
Abstract
Routing problem in wireless sensor networks is a hot research. Researchers have been searching for a good algorithm. Ant colony algorithm is robust, positive feedback, distributed. It has excellent performance in solving many complex optimization problems. This paper improves the ant colony optimization algorithm with the consideration of nodes energy, network latency, packet loss rate and other QoS requirements. Experiment simulation results proved the feasibility and effectiveness of the improved algorithm.
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