{"title":"无线传感器网络聚类模型","authors":"T. Tatarnikova, I. N. Dziubenko","doi":"10.1109/WECONF.2018.8604452","DOIUrl":null,"url":null,"abstract":"This paper proposes a simulation model of clusterization of the sensory field created by a wireless sensor network. Effectiveness of clustered wireless sensor network was comparatively evaluated to non-clustered on parameters of residual energy and duration of the network life cycle. The clustering method is based on the idea of an equally probable rotation of the head nodes, taking into account the level of residual energy of the nodes and the distance from the sensory devices to the head node.","PeriodicalId":198958,"journal":{"name":"2018 Wave Electronics and its Application in Information and Telecommunication Systems (WECONF)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Wireless Sensor Network Clustering Model\",\"authors\":\"T. Tatarnikova, I. N. Dziubenko\",\"doi\":\"10.1109/WECONF.2018.8604452\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a simulation model of clusterization of the sensory field created by a wireless sensor network. Effectiveness of clustered wireless sensor network was comparatively evaluated to non-clustered on parameters of residual energy and duration of the network life cycle. The clustering method is based on the idea of an equally probable rotation of the head nodes, taking into account the level of residual energy of the nodes and the distance from the sensory devices to the head node.\",\"PeriodicalId\":198958,\"journal\":{\"name\":\"2018 Wave Electronics and its Application in Information and Telecommunication Systems (WECONF)\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 Wave Electronics and its Application in Information and Telecommunication Systems (WECONF)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WECONF.2018.8604452\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Wave Electronics and its Application in Information and Telecommunication Systems (WECONF)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WECONF.2018.8604452","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper proposes a simulation model of clusterization of the sensory field created by a wireless sensor network. Effectiveness of clustered wireless sensor network was comparatively evaluated to non-clustered on parameters of residual energy and duration of the network life cycle. The clustering method is based on the idea of an equally probable rotation of the head nodes, taking into account the level of residual energy of the nodes and the distance from the sensory devices to the head node.