{"title":"无线传感器网络环聚类的多级节能协同方案","authors":"J. J. Sumesh, Maheswaran Chella Perumal","doi":"10.1515/ehs-2021-0031","DOIUrl":null,"url":null,"abstract":"Abstract Wireless Sensor Network (WSN) is composed of different sensors attached to the same wireless medium. Sensor node data is usually forwarded to the base station, where it has been stored, evaluated, and processed. Ring Routing, a new energy-efficient distributed routing protocol aimed at larger-scale WSN applications with mobile sink and motionless sensor nodes. The structure ring is quickly converted, and they are capable of switching positions with regular nodes in a simple and effective manner, thereby minimizing the hotspot problem. In the network system, the central node is considered, and ring nodes with a certain distance are established while creating a ring structure. Since the sink nodes are powered by batteries, they deplete their batteries quicker than the other nodes, which is attributable to the accumulation of data traffic into the sink. Furthermore, when the ring configuration is disrupted due to ring node expiration, data transfer becomes tedious and causes significant delay. As a ring node starts to exhaust, its neighbor takes over as the ring node, and this selection of the regular node as the ring node is done optimally based on Multiple-Fitness Parameters such as Four-level energy consumption (4En), Distance (distance between the ring node and the regular node Dist ring − reg and distance between network centers to regular node Δ D i s t C − r i n g ${\\Delta}Dis{t}_{C-ring}$ ) and delay S. Moreover, this optimal selection of the regular node to act as ring node will be carried out by a new hybrid algorithm referred to as Cuckoo Search Updated Sealion’s Attacking Technique (CSUSAT) that combines the standard crow search and sea lion optimization algorithm. At last, the supremacy of the presented approach is proved over other models.","PeriodicalId":36885,"journal":{"name":"Energy Harvesting and Systems","volume":"17 1","pages":"133 - 150"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multi-level energy efficient cooperative scheme for ring based clustering in wireless sensor network\",\"authors\":\"J. J. Sumesh, Maheswaran Chella Perumal\",\"doi\":\"10.1515/ehs-2021-0031\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract Wireless Sensor Network (WSN) is composed of different sensors attached to the same wireless medium. Sensor node data is usually forwarded to the base station, where it has been stored, evaluated, and processed. Ring Routing, a new energy-efficient distributed routing protocol aimed at larger-scale WSN applications with mobile sink and motionless sensor nodes. The structure ring is quickly converted, and they are capable of switching positions with regular nodes in a simple and effective manner, thereby minimizing the hotspot problem. In the network system, the central node is considered, and ring nodes with a certain distance are established while creating a ring structure. Since the sink nodes are powered by batteries, they deplete their batteries quicker than the other nodes, which is attributable to the accumulation of data traffic into the sink. Furthermore, when the ring configuration is disrupted due to ring node expiration, data transfer becomes tedious and causes significant delay. As a ring node starts to exhaust, its neighbor takes over as the ring node, and this selection of the regular node as the ring node is done optimally based on Multiple-Fitness Parameters such as Four-level energy consumption (4En), Distance (distance between the ring node and the regular node Dist ring − reg and distance between network centers to regular node Δ D i s t C − r i n g ${\\\\Delta}Dis{t}_{C-ring}$ ) and delay S. Moreover, this optimal selection of the regular node to act as ring node will be carried out by a new hybrid algorithm referred to as Cuckoo Search Updated Sealion’s Attacking Technique (CSUSAT) that combines the standard crow search and sea lion optimization algorithm. At last, the supremacy of the presented approach is proved over other models.\",\"PeriodicalId\":36885,\"journal\":{\"name\":\"Energy Harvesting and Systems\",\"volume\":\"17 1\",\"pages\":\"133 - 150\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-04-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Energy Harvesting and Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1515/ehs-2021-0031\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy Harvesting and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1515/ehs-2021-0031","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 0
摘要
无线传感器网络(WSN)是由连接在同一无线介质上的不同传感器组成的网络。传感器节点数据通常被转发到基站,在那里进行存储、评估和处理。环路由是一种新的高效节能的分布式路由协议,主要针对具有移动sink和静止传感器节点的大规模WSN应用。结构环转换速度快,能够简单有效地与规则节点交换位置,从而最大限度地减少热点问题。在网络系统中,在创建环形结构时考虑中心节点,建立一定距离的环形节点。由于汇聚节点由电池供电,因此它们比其他节点更快地耗尽电池,这是由于数据流量积累到汇聚节点。此外,当环节点过期导致环配置中断时,数据传输将变得繁琐,并导致严重的延迟。作为环节点开始排气,邻国接管环节点,这选择普通节点的节点环做四级能耗优化基于Multiple-Fitness参数如(4),距离(距离环节点和普通节点距离环−reg和网络之间的距离中心常规节点ΔD我s t C−r n g ${\三角洲}说{t} _ {C - r} $)和延迟s .此外,这种常规节点作为环节点的最优选择将通过一种新的混合算法来实现,该算法将标准乌鸦搜索和海狮优化算法相结合,称为布谷鸟搜索更新海狮攻击技术(CSUSAT)。最后,证明了该方法相对于其他模型的优越性。
Multi-level energy efficient cooperative scheme for ring based clustering in wireless sensor network
Abstract Wireless Sensor Network (WSN) is composed of different sensors attached to the same wireless medium. Sensor node data is usually forwarded to the base station, where it has been stored, evaluated, and processed. Ring Routing, a new energy-efficient distributed routing protocol aimed at larger-scale WSN applications with mobile sink and motionless sensor nodes. The structure ring is quickly converted, and they are capable of switching positions with regular nodes in a simple and effective manner, thereby minimizing the hotspot problem. In the network system, the central node is considered, and ring nodes with a certain distance are established while creating a ring structure. Since the sink nodes are powered by batteries, they deplete their batteries quicker than the other nodes, which is attributable to the accumulation of data traffic into the sink. Furthermore, when the ring configuration is disrupted due to ring node expiration, data transfer becomes tedious and causes significant delay. As a ring node starts to exhaust, its neighbor takes over as the ring node, and this selection of the regular node as the ring node is done optimally based on Multiple-Fitness Parameters such as Four-level energy consumption (4En), Distance (distance between the ring node and the regular node Dist ring − reg and distance between network centers to regular node Δ D i s t C − r i n g ${\Delta}Dis{t}_{C-ring}$ ) and delay S. Moreover, this optimal selection of the regular node to act as ring node will be carried out by a new hybrid algorithm referred to as Cuckoo Search Updated Sealion’s Attacking Technique (CSUSAT) that combines the standard crow search and sea lion optimization algorithm. At last, the supremacy of the presented approach is proved over other models.