{"title":"基于熟悉的水下无线传感器网络网格聚类算法","authors":"V. Sundarameena, D. Priyatharisini","doi":"10.1109/ICICES.2014.7033927","DOIUrl":null,"url":null,"abstract":"Underwater wireless sensor network (UWSN) is an important emerging research area in wide range of application, unlike the terrestrial network it uses the acoustic signal which has a unique characteristics like limited bandwidth, high and variable propagation delay, transmit energy, minimum network lifetime and so on. This paper proposes an efficient clustering algorithm having 3D-GRID network architecture and it uses limited control information for data gathering to improve the energy efficiency of the network. The GRID clustering method supports 3D deployment based on geographical location of the sensors which has cluster heads (CH) and non cluster heads (NCH). All the cluster heads are present in the center of the network and all the non-cluster head nodes are in minimum distance to the cluster head. This network structure helps to avoid the control packets for intra communication. For inter communication the CH data packet contains the control packet for route establishment and data transmission. Thus this technique reduce the usage of energy while communication and improve the lifetime of the network.","PeriodicalId":13713,"journal":{"name":"International Conference on Information Communication and Embedded Systems (ICICES2014)","volume":"91 1","pages":"1-4"},"PeriodicalIF":0.0000,"publicationDate":"2014-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Acquaint based grid clustering algorithm for Underwater wireless sensor network\",\"authors\":\"V. Sundarameena, D. Priyatharisini\",\"doi\":\"10.1109/ICICES.2014.7033927\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Underwater wireless sensor network (UWSN) is an important emerging research area in wide range of application, unlike the terrestrial network it uses the acoustic signal which has a unique characteristics like limited bandwidth, high and variable propagation delay, transmit energy, minimum network lifetime and so on. This paper proposes an efficient clustering algorithm having 3D-GRID network architecture and it uses limited control information for data gathering to improve the energy efficiency of the network. The GRID clustering method supports 3D deployment based on geographical location of the sensors which has cluster heads (CH) and non cluster heads (NCH). All the cluster heads are present in the center of the network and all the non-cluster head nodes are in minimum distance to the cluster head. This network structure helps to avoid the control packets for intra communication. For inter communication the CH data packet contains the control packet for route establishment and data transmission. Thus this technique reduce the usage of energy while communication and improve the lifetime of the network.\",\"PeriodicalId\":13713,\"journal\":{\"name\":\"International Conference on Information Communication and Embedded Systems (ICICES2014)\",\"volume\":\"91 1\",\"pages\":\"1-4\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Information Communication and Embedded Systems (ICICES2014)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICICES.2014.7033927\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Information Communication and Embedded Systems (ICICES2014)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICES.2014.7033927","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Acquaint based grid clustering algorithm for Underwater wireless sensor network
Underwater wireless sensor network (UWSN) is an important emerging research area in wide range of application, unlike the terrestrial network it uses the acoustic signal which has a unique characteristics like limited bandwidth, high and variable propagation delay, transmit energy, minimum network lifetime and so on. This paper proposes an efficient clustering algorithm having 3D-GRID network architecture and it uses limited control information for data gathering to improve the energy efficiency of the network. The GRID clustering method supports 3D deployment based on geographical location of the sensors which has cluster heads (CH) and non cluster heads (NCH). All the cluster heads are present in the center of the network and all the non-cluster head nodes are in minimum distance to the cluster head. This network structure helps to avoid the control packets for intra communication. For inter communication the CH data packet contains the control packet for route establishment and data transmission. Thus this technique reduce the usage of energy while communication and improve the lifetime of the network.