{"title":"基于簇的多移动Sink和单静态Sink无线传感器网络节能寿命改进机制","authors":"D. De, A. Sen, M. Gupta","doi":"10.1109/ICCCT.2012.47","DOIUrl":null,"url":null,"abstract":"In recent days Lifetime of Wireless Sensor Network (WSN) is an important consideration. The lifetime of a WSN depends on the power consumption of sensor nodes. To minimize the power consumption of WSN we propose \"Bubbling Mechanism\" in which the transmission ranges of nodes are altered temporarily, a concept \"Border Cluster\" in which we keep more number of active nodes in border clusters than in inner clusters when there is no target in the area of interest in WSN. We also use the concept of Dual Sink i.e. a static sink and multiple mobile sink to increase the efficiency of data collection. On an average approximately 10.62% energy of highly loaded cluster head (?CH?hl) is saved using Bubbling Mechanism in our new approach.","PeriodicalId":235770,"journal":{"name":"2012 Third International Conference on Computer and Communication Technology","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":"{\"title\":\"Cluster Based Energy Efficient Lifetime Improvement Mechanism for WSN with Multiple Mobile Sink and Single Static Sink\",\"authors\":\"D. De, A. Sen, M. Gupta\",\"doi\":\"10.1109/ICCCT.2012.47\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In recent days Lifetime of Wireless Sensor Network (WSN) is an important consideration. The lifetime of a WSN depends on the power consumption of sensor nodes. To minimize the power consumption of WSN we propose \\\"Bubbling Mechanism\\\" in which the transmission ranges of nodes are altered temporarily, a concept \\\"Border Cluster\\\" in which we keep more number of active nodes in border clusters than in inner clusters when there is no target in the area of interest in WSN. We also use the concept of Dual Sink i.e. a static sink and multiple mobile sink to increase the efficiency of data collection. On an average approximately 10.62% energy of highly loaded cluster head (?CH?hl) is saved using Bubbling Mechanism in our new approach.\",\"PeriodicalId\":235770,\"journal\":{\"name\":\"2012 Third International Conference on Computer and Communication Technology\",\"volume\":\"45 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-11-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"16\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Third International Conference on Computer and Communication Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCCT.2012.47\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Third International Conference on Computer and Communication Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCT.2012.47","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Cluster Based Energy Efficient Lifetime Improvement Mechanism for WSN with Multiple Mobile Sink and Single Static Sink
In recent days Lifetime of Wireless Sensor Network (WSN) is an important consideration. The lifetime of a WSN depends on the power consumption of sensor nodes. To minimize the power consumption of WSN we propose "Bubbling Mechanism" in which the transmission ranges of nodes are altered temporarily, a concept "Border Cluster" in which we keep more number of active nodes in border clusters than in inner clusters when there is no target in the area of interest in WSN. We also use the concept of Dual Sink i.e. a static sink and multiple mobile sink to increase the efficiency of data collection. On an average approximately 10.62% energy of highly loaded cluster head (?CH?hl) is saved using Bubbling Mechanism in our new approach.