{"title":"Survey on WSN Using Clustering","authors":"S. Dhiviya, A. Sariga, P. Sujatha","doi":"10.1109/ICRTCCM.2017.87","DOIUrl":null,"url":null,"abstract":"Clustering algorithm incurs significantenergy consumption for clusters and its ClusterHeads (CH) in Wireless Sensor Network(WSN). WSN brings a new attention over a real-timeintelligent system with its limitations and gainedmore research challenges. In last few years, WSNcan be used and seen in many real time applicationslike disaster management, pollution monitoring, temperature monitoring, traffic monitoring, transportmonitoring, healthcare monitoring, battlefieldsurveillance and border security surveillance. Inthese applications, plenty of sensor nodes are usedand they are deployed in the sensing field whichoften transmits information to Base Station (BS) automatically by means of energy (i.e. battery presentin the sensor). Clustering is one of the techniquesused in WSN to utilize the energy efficiently by thesensor node. Clustering is a process of grouping thesensor nodes into clusters and each cluster will havea cluster head. This paper provides the survey on adistinct clustering algorithm for WSN which isclassified based on distinct clustering attributes.","PeriodicalId":134897,"journal":{"name":"2017 Second International Conference on Recent Trends and Challenges in Computational Models (ICRTCCM)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Second International Conference on Recent Trends and Challenges in Computational Models (ICRTCCM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICRTCCM.2017.87","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 15
Abstract
Clustering algorithm incurs significantenergy consumption for clusters and its ClusterHeads (CH) in Wireless Sensor Network(WSN). WSN brings a new attention over a real-timeintelligent system with its limitations and gainedmore research challenges. In last few years, WSNcan be used and seen in many real time applicationslike disaster management, pollution monitoring, temperature monitoring, traffic monitoring, transportmonitoring, healthcare monitoring, battlefieldsurveillance and border security surveillance. Inthese applications, plenty of sensor nodes are usedand they are deployed in the sensing field whichoften transmits information to Base Station (BS) automatically by means of energy (i.e. battery presentin the sensor). Clustering is one of the techniquesused in WSN to utilize the energy efficiently by thesensor node. Clustering is a process of grouping thesensor nodes into clusters and each cluster will havea cluster head. This paper provides the survey on adistinct clustering algorithm for WSN which isclassified based on distinct clustering attributes.