{"title":"Data Aggregation in IOT Networks for Energy Constrained Applications","authors":"Nikhat Parveen, S. S, B. Pattanaik, Balamurugan D","doi":"10.1109/ICDT57929.2023.10150818","DOIUrl":null,"url":null,"abstract":"Recently, there has been a great deal of discussion about the Internet of Things (IoT), both in the classroom and in the field. Because the IoT relies on data, it can be challenging to compile all that data into a coherent whole. A high robust data transmission is the primary motivation for data aggregation systems, which seek to optimize delay, reliability, and energy consumption during data transmission. In this research, the study uses a hybrid data aggregation model for IoT that aims to improve the process of data aggregation for efficient data transmission in two different energy constrained networking applications. The entire simulation is conducted in a network simulator environment, and it is tested in terms of packet delivery rate and throughput. The results show an increase data rate and network throughput in various energy constrained applications.","PeriodicalId":266681,"journal":{"name":"2023 International Conference on Disruptive Technologies (ICDT)","volume":"120 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on Disruptive Technologies (ICDT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDT57929.2023.10150818","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
Recently, there has been a great deal of discussion about the Internet of Things (IoT), both in the classroom and in the field. Because the IoT relies on data, it can be challenging to compile all that data into a coherent whole. A high robust data transmission is the primary motivation for data aggregation systems, which seek to optimize delay, reliability, and energy consumption during data transmission. In this research, the study uses a hybrid data aggregation model for IoT that aims to improve the process of data aggregation for efficient data transmission in two different energy constrained networking applications. The entire simulation is conducted in a network simulator environment, and it is tested in terms of packet delivery rate and throughput. The results show an increase data rate and network throughput in various energy constrained applications.