Siva Satya Sreedhar, R. Anitha, Priya Rachel, S. Suganya, C. Ramesh Babu Durai, G. S. Uthayakumar
{"title":"Energy Conservation for Environment Monitoring System in an IoT based WSN","authors":"Siva Satya Sreedhar, R. Anitha, Priya Rachel, S. Suganya, C. Ramesh Babu Durai, G. S. Uthayakumar","doi":"10.1109/STCR55312.2022.10009100","DOIUrl":null,"url":null,"abstract":"Energy distribution is vital in an IoT-based Wireless Sensor Network (WSN).There is no other fuel source for WSN since they deal with battery systems. This means that when the battery runs out, they have no option except to replace it on a regular basis, which isn't always possible. Information may be lost during transmission as another problem with WSNs. Despite the fact that information disasters are rare, it remains a constant threat. The greatest danger lies in a loss of data. B) CH-to-sink data lost. This article saves energy by forecasting missing node values.","PeriodicalId":338691,"journal":{"name":"2022 Smart Technologies, Communication and Robotics (STCR)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 Smart Technologies, Communication and Robotics (STCR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/STCR55312.2022.10009100","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
Energy distribution is vital in an IoT-based Wireless Sensor Network (WSN).There is no other fuel source for WSN since they deal with battery systems. This means that when the battery runs out, they have no option except to replace it on a regular basis, which isn't always possible. Information may be lost during transmission as another problem with WSNs. Despite the fact that information disasters are rare, it remains a constant threat. The greatest danger lies in a loss of data. B) CH-to-sink data lost. This article saves energy by forecasting missing node values.