{"title":"一种基于遗传算法的无线传感器网络覆盖增强方法","authors":"Yingcong Zeng, Jinhua Zheng","doi":"10.1109/ICNC.2012.6234567","DOIUrl":null,"url":null,"abstract":"For hybrid wireless sensor networks with mobile nodes, to optimize the coverage performance, a control strategy based on SA-MODE (Self Adaptive-Multi Objective Differential Evolutionary Algorithm) for mobile nodes is proposed. Simulation results have shown the validity of the algorithm.","PeriodicalId":87274,"journal":{"name":"International Conference on Computing, Networking, and Communications : [proceedings]. International Conference on Computing, Networking and Communications","volume":"50 1","pages":"1069-1073"},"PeriodicalIF":0.0000,"publicationDate":"2012-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A genetic algorithm-based wireless sensor network coverage-enhancing approach\",\"authors\":\"Yingcong Zeng, Jinhua Zheng\",\"doi\":\"10.1109/ICNC.2012.6234567\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"For hybrid wireless sensor networks with mobile nodes, to optimize the coverage performance, a control strategy based on SA-MODE (Self Adaptive-Multi Objective Differential Evolutionary Algorithm) for mobile nodes is proposed. Simulation results have shown the validity of the algorithm.\",\"PeriodicalId\":87274,\"journal\":{\"name\":\"International Conference on Computing, Networking, and Communications : [proceedings]. International Conference on Computing, Networking and Communications\",\"volume\":\"50 1\",\"pages\":\"1069-1073\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-05-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"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.2012.6234567\",\"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.2012.6234567","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A genetic algorithm-based wireless sensor network coverage-enhancing approach
For hybrid wireless sensor networks with mobile nodes, to optimize the coverage performance, a control strategy based on SA-MODE (Self Adaptive-Multi Objective Differential Evolutionary Algorithm) for mobile nodes is proposed. Simulation results have shown the validity of the algorithm.