{"title":"A study on data aggregation scheme over wireless sensor network","authors":"K. Geethapriya, I. Kala, S. Karthik","doi":"10.1109/ISCO.2016.7727052","DOIUrl":null,"url":null,"abstract":"Nowadays, wireless sensor networks (WSNs) seen as an emerging technology due to its multi serviceable, low cost and low power sensor nodes, that are deployed randomly and densely over a network to collect a useful information from there. Since the nodes are deployed densely, makes it hard to recharge or replace their batteries. Basically, the node senses the data and transmit it to a base station. The node, which is nearer to the base station may deplete their energy quickly than other nodes due to more traffic relaying on it. Furthermore the nodes may sense and transmit the redundant information to other nodes, which leads to energy wastage. Due to these types of issues, it is difficult to design a data aggregation scheme with optimal energy consumption across the sensing area to enhance the network lifetime. In this paper, a detailed study has been made about the available data aggregation techniques in the form of taxonomy.","PeriodicalId":320699,"journal":{"name":"2016 10th International Conference on Intelligent Systems and Control (ISCO)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 10th International Conference on Intelligent Systems and Control (ISCO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCO.2016.7727052","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Nowadays, wireless sensor networks (WSNs) seen as an emerging technology due to its multi serviceable, low cost and low power sensor nodes, that are deployed randomly and densely over a network to collect a useful information from there. Since the nodes are deployed densely, makes it hard to recharge or replace their batteries. Basically, the node senses the data and transmit it to a base station. The node, which is nearer to the base station may deplete their energy quickly than other nodes due to more traffic relaying on it. Furthermore the nodes may sense and transmit the redundant information to other nodes, which leads to energy wastage. Due to these types of issues, it is difficult to design a data aggregation scheme with optimal energy consumption across the sensing area to enhance the network lifetime. In this paper, a detailed study has been made about the available data aggregation techniques in the form of taxonomy.