{"title":"基于遗传算法的无线传感器节点定位算法优化","authors":"Tan Zhi, Zhang Yuting","doi":"10.4018/IJITN.2014100106","DOIUrl":null,"url":null,"abstract":"The node localization technology is a foundation for practical application in wireless sensor networks. According to DV-HOP positioning algorithm in wireless sensor network low precision, the defect of inaccurate positioning, this paper presents an optimization algorithm of improved DV-HOP based on genetic algorithm. The algorithm is to redefine the scope of initial population, the reference weight, redesigned the fitness function and selection of anchor nodes. The simulation results show that compared with the traditional DV - HOP algorithm, the algorithm without any increase in the node hardware overhead on the basis of significantly higher positioning accuracy.","PeriodicalId":42285,"journal":{"name":"International Journal of Interdisciplinary Telecommunications and Networking","volume":"6 1","pages":"55-64"},"PeriodicalIF":0.4000,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Optimization of the Wireless Sensor Nodes Localization Algorithm Based on Genetic Algorithm\",\"authors\":\"Tan Zhi, Zhang Yuting\",\"doi\":\"10.4018/IJITN.2014100106\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The node localization technology is a foundation for practical application in wireless sensor networks. According to DV-HOP positioning algorithm in wireless sensor network low precision, the defect of inaccurate positioning, this paper presents an optimization algorithm of improved DV-HOP based on genetic algorithm. The algorithm is to redefine the scope of initial population, the reference weight, redesigned the fitness function and selection of anchor nodes. The simulation results show that compared with the traditional DV - HOP algorithm, the algorithm without any increase in the node hardware overhead on the basis of significantly higher positioning accuracy.\",\"PeriodicalId\":42285,\"journal\":{\"name\":\"International Journal of Interdisciplinary Telecommunications and Networking\",\"volume\":\"6 1\",\"pages\":\"55-64\"},\"PeriodicalIF\":0.4000,\"publicationDate\":\"2014-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Interdisciplinary Telecommunications and Networking\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4018/IJITN.2014100106\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"TELECOMMUNICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Interdisciplinary Telecommunications and Networking","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/IJITN.2014100106","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"TELECOMMUNICATIONS","Score":null,"Total":0}
Optimization of the Wireless Sensor Nodes Localization Algorithm Based on Genetic Algorithm
The node localization technology is a foundation for practical application in wireless sensor networks. According to DV-HOP positioning algorithm in wireless sensor network low precision, the defect of inaccurate positioning, this paper presents an optimization algorithm of improved DV-HOP based on genetic algorithm. The algorithm is to redefine the scope of initial population, the reference weight, redesigned the fitness function and selection of anchor nodes. The simulation results show that compared with the traditional DV - HOP algorithm, the algorithm without any increase in the node hardware overhead on the basis of significantly higher positioning accuracy.
期刊介绍：
The International Journal of Interdisciplinary Telecommunications and Networking (IJITN) examines timely and important telecommunications and networking issues, problems, and solutions from a multidimensional, interdisciplinary perspective for researchers and practitioners. IJITN emphasizes the cross-disciplinary viewpoints of electrical engineering, computer science, information technology, operations research, business administration, economics, sociology, and law. The journal publishes theoretical and empirical research findings, case studies, and surveys, as well as the opinions of leaders and experts in the field. The journal''s coverage of telecommunications and networking is broad, ranging from cutting edge research to practical implementations. Published articles must be from an interdisciplinary, rather than a narrow, discipline-specific viewpoint. The context may be industry-wide, organizational, individual user, or societal. Topics Covered: -Emerging telecommunications and networking technologies -Global telecommunications industry business modeling and analysis -Network management and security -New telecommunications applications, products, and services -Social and societal aspects of telecommunications and networking -Standards and standardization issues for telecommunications and networking -Strategic telecommunications management -Telecommunications and networking cultural issues and education -Telecommunications and networking hardware and software design -Telecommunications investments and new ventures -Telecommunications network modeling and design -Telecommunications regulation and policy issues -Telecommunications systems economics
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