H. V, L. J., S. A, N. Divya Bharathi, Shrikant Upadhyay, Venkatesh R
{"title":"Energy Efficient Data Management in Health Care","authors":"H. V, L. J., S. A, N. Divya Bharathi, Shrikant Upadhyay, Venkatesh R","doi":"10.1109/ICAIS56108.2023.10073796","DOIUrl":null,"url":null,"abstract":"In healthcare WSN applications, data loss due to congestion may trigger a \"death alert\" for a crucial patient. Because of this, a system must be designed to either prevent or reduce congestion. This study presents an energy-efficient and reliable multi-path data transmission protocol for healthcare Wireless Sensor Networks (WSN). Spare data and sensitive data packets are sent through a route with little transmission interference when the system is jammed. The recommended technique assesses the danger of congestion at intermediate nodes and adjusts their transmission rate to prevent congestion. Each node's buffer is partitioned to make data transport fair and efficient. The protocol's high reliability is maintained through hop-by-hop loss recovery and acknowledgement. Simulations are used to test the recommended method's functionality. In terms of energy economy, reliability, and end-to-end delivery ratio, it exceeds existing healthcare congestion management algorithms. This study evaluates and compares the routing techniques. They present a concept for developing an energy-efficient routing protocol. This approach designs quick, compact, more energy-efficient routes than existing ones. NS2 is used to run and test the proposed system. The proposed method beats the current protocol in terms of average delay, energy savings, and packet delivery ratio.","PeriodicalId":164345,"journal":{"name":"2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAIS56108.2023.10073796","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In healthcare WSN applications, data loss due to congestion may trigger a "death alert" for a crucial patient. Because of this, a system must be designed to either prevent or reduce congestion. This study presents an energy-efficient and reliable multi-path data transmission protocol for healthcare Wireless Sensor Networks (WSN). Spare data and sensitive data packets are sent through a route with little transmission interference when the system is jammed. The recommended technique assesses the danger of congestion at intermediate nodes and adjusts their transmission rate to prevent congestion. Each node's buffer is partitioned to make data transport fair and efficient. The protocol's high reliability is maintained through hop-by-hop loss recovery and acknowledgement. Simulations are used to test the recommended method's functionality. In terms of energy economy, reliability, and end-to-end delivery ratio, it exceeds existing healthcare congestion management algorithms. This study evaluates and compares the routing techniques. They present a concept for developing an energy-efficient routing protocol. This approach designs quick, compact, more energy-efficient routes than existing ones. NS2 is used to run and test the proposed system. The proposed method beats the current protocol in terms of average delay, energy savings, and packet delivery ratio.