{"title":"基于遗传算法的无线传感器网络定位算法","authors":"Wenwen Li, Wuneng Zhou","doi":"10.1109/ICNC.2011.6022395","DOIUrl":null,"url":null,"abstract":"The node localization of wireless sensor network (WSN) is an important technical. In this paper, an algorithm on the node location of WSN combing with the genetic algorithm is proposed. The simulation result shows that the proposed algorithm is able to determine the accurate position of the unknown nodes currently. And then comparing to the DV-HOP, the proposed algorithm has lower error which is also verified by the simulation.","PeriodicalId":87274,"journal":{"name":"International Conference on Computing, Networking, and Communications : [proceedings]. International Conference on Computing, Networking and Communications","volume":"44 1","pages":"2096-2099"},"PeriodicalIF":0.0000,"publicationDate":"2011-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"23","resultStr":"{\"title\":\"Genetic algorithm-base localization algorithm for wireless sensor networks\",\"authors\":\"Wenwen Li, Wuneng Zhou\",\"doi\":\"10.1109/ICNC.2011.6022395\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The node localization of wireless sensor network (WSN) is an important technical. In this paper, an algorithm on the node location of WSN combing with the genetic algorithm is proposed. The simulation result shows that the proposed algorithm is able to determine the accurate position of the unknown nodes currently. And then comparing to the DV-HOP, the proposed algorithm has lower error which is also verified by the simulation.\",\"PeriodicalId\":87274,\"journal\":{\"name\":\"International Conference on Computing, Networking, and Communications : [proceedings]. International Conference on Computing, Networking and Communications\",\"volume\":\"44 1\",\"pages\":\"2096-2099\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-07-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"23\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Computing, Networking, and Communications : [proceedings]. International Conference on Computing, Networking and Communications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICNC.2011.6022395\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Computing, Networking, and Communications : [proceedings]. International Conference on Computing, Networking and Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNC.2011.6022395","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Genetic algorithm-base localization algorithm for wireless sensor networks
The node localization of wireless sensor network (WSN) is an important technical. In this paper, an algorithm on the node location of WSN combing with the genetic algorithm is proposed. The simulation result shows that the proposed algorithm is able to determine the accurate position of the unknown nodes currently. And then comparing to the DV-HOP, the proposed algorithm has lower error which is also verified by the simulation.
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