{"title":"基于遗传算法的无线传感器网络三维覆盖研究","authors":"Lin Feng, Zhenlong Sun, Tie Qiu","doi":"10.1109/CISIS.2013.112","DOIUrl":null,"url":null,"abstract":"The coverage problem of networks is one of the key issues researched in wireless sensor networks (WSNs). To find the optimal coverage solution of sensor networks is a pressing concern now. The terrain of the detection area is often more complex in the applications of three-dimensional sensor networks. In this paper, a new network coverage and optimization control strategy based on genetic algorithm is proposed to solve the deterministic coverage problem of sensor nodes. The fitness function of the associated genetic algorithm is determined on a two-dimensional plane and iterations are utilized to find optimal solutions. The simulations and results indicate that the coverage strategy is an efficient coverage strategy for the three-dimensional terrain.","PeriodicalId":155467,"journal":{"name":"2013 Seventh International Conference on Complex, Intelligent, and Software Intensive Systems","volume":"200 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Genetic Algorithm-Based 3D Coverage Research in Wireless Sensor Networks\",\"authors\":\"Lin Feng, Zhenlong Sun, Tie Qiu\",\"doi\":\"10.1109/CISIS.2013.112\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The coverage problem of networks is one of the key issues researched in wireless sensor networks (WSNs). To find the optimal coverage solution of sensor networks is a pressing concern now. The terrain of the detection area is often more complex in the applications of three-dimensional sensor networks. In this paper, a new network coverage and optimization control strategy based on genetic algorithm is proposed to solve the deterministic coverage problem of sensor nodes. The fitness function of the associated genetic algorithm is determined on a two-dimensional plane and iterations are utilized to find optimal solutions. The simulations and results indicate that the coverage strategy is an efficient coverage strategy for the three-dimensional terrain.\",\"PeriodicalId\":155467,\"journal\":{\"name\":\"2013 Seventh International Conference on Complex, Intelligent, and Software Intensive Systems\",\"volume\":\"200 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-07-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 Seventh International Conference on Complex, Intelligent, and Software Intensive Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CISIS.2013.112\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Seventh International Conference on Complex, Intelligent, and Software Intensive Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CISIS.2013.112","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Genetic Algorithm-Based 3D Coverage Research in Wireless Sensor Networks
The coverage problem of networks is one of the key issues researched in wireless sensor networks (WSNs). To find the optimal coverage solution of sensor networks is a pressing concern now. The terrain of the detection area is often more complex in the applications of three-dimensional sensor networks. In this paper, a new network coverage and optimization control strategy based on genetic algorithm is proposed to solve the deterministic coverage problem of sensor nodes. The fitness function of the associated genetic algorithm is determined on a two-dimensional plane and iterations are utilized to find optimal solutions. The simulations and results indicate that the coverage strategy is an efficient coverage strategy for the three-dimensional terrain.