{"title":"基于遗传算法的多路径路由优化算法","authors":"Baolin Sun, Chao Gui, P. Liu","doi":"10.1109/BICTA.2010.5645139","DOIUrl":null,"url":null,"abstract":"A Mobile Ad Hoc Network (MANET) is a dynamic wireless network that can be formed without the need for any pre-existing infrastructure in which each node can act as a router. Because mobile nodes have limited battery power, it is therefore very important to use energy in a MANET efficiently. In this paper, we provide an energy Entropy Multipath Routing optimization algorithm in MANET based on GA (EMRGA). The key idea of the protocol is to find the minimal node residual energy of each route in the process of selecting path by descending node residual energy. It can balance individual nodes battery power utilization and hence prolong the entire networks lifetime and energy variance. Experimental shows that the approach is efficient, promising performance advantage for multipath traffic engineering and evaluates the route stability in dynamic mobile networks.","PeriodicalId":302619,"journal":{"name":"2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"27","resultStr":"{\"title\":\"Energy Entropy Multipath Routing optimization algorithm in MANET based on GA\",\"authors\":\"Baolin Sun, Chao Gui, P. Liu\",\"doi\":\"10.1109/BICTA.2010.5645139\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A Mobile Ad Hoc Network (MANET) is a dynamic wireless network that can be formed without the need for any pre-existing infrastructure in which each node can act as a router. Because mobile nodes have limited battery power, it is therefore very important to use energy in a MANET efficiently. In this paper, we provide an energy Entropy Multipath Routing optimization algorithm in MANET based on GA (EMRGA). The key idea of the protocol is to find the minimal node residual energy of each route in the process of selecting path by descending node residual energy. It can balance individual nodes battery power utilization and hence prolong the entire networks lifetime and energy variance. Experimental shows that the approach is efficient, promising performance advantage for multipath traffic engineering and evaluates the route stability in dynamic mobile networks.\",\"PeriodicalId\":302619,\"journal\":{\"name\":\"2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA)\",\"volume\":\"68 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-11-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"27\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BICTA.2010.5645139\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BICTA.2010.5645139","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Energy Entropy Multipath Routing optimization algorithm in MANET based on GA
A Mobile Ad Hoc Network (MANET) is a dynamic wireless network that can be formed without the need for any pre-existing infrastructure in which each node can act as a router. Because mobile nodes have limited battery power, it is therefore very important to use energy in a MANET efficiently. In this paper, we provide an energy Entropy Multipath Routing optimization algorithm in MANET based on GA (EMRGA). The key idea of the protocol is to find the minimal node residual energy of each route in the process of selecting path by descending node residual energy. It can balance individual nodes battery power utilization and hence prolong the entire networks lifetime and energy variance. Experimental shows that the approach is efficient, promising performance advantage for multipath traffic engineering and evaluates the route stability in dynamic mobile networks.