Performance Improvement Of Data Gathering In Underwater Wireless Sensor Network Using Robust Energy Efficient Adaptive Routing Protocol with comparison over Energy Efficient Data gathering algorithm
{"title":"Performance Improvement Of Data Gathering In Underwater Wireless Sensor Network Using Robust Energy Efficient Adaptive Routing Protocol with comparison over Energy Efficient Data gathering algorithm","authors":"K.Gnana Teja, S. Sivasakthiselvan","doi":"10.1109/ICBATS54253.2022.9759046","DOIUrl":null,"url":null,"abstract":"Robust Energy Efficient Adaptive Routing Protocol (REARP) is being used in comparison to Energy Efficient Data gathering algorithm (EEDG) in order to avoid needless transmissions and balance energy consumption among sensors. The performance metrics of robust energy efficient adaptive routing protocol for transfer of data and balancing energy is compared with energy efficient data gathering algorithms. The algorithms are tested in a network simulator with independent samples of 16 for each group and obtained the dependent variables like improved energy efficiency, high throughput and high packet delivery ratio. The algorithm performance is verified and the result shows that Robust Energy Efficient Adaptive Routing algorithm outperforms the Energy Efficient Data gathering algorithm (EEDG) in terms of throughput, pdr and Energy. Throughput mean value is (1.3853), Energy consumption mean value is (1.0161) and Packet delivery ratio mean value is (94.7813) achieved using Robust Energy Efficient Adaptive Routing algorithm. statistical analysis shows that significant value(<0.01). The simulation results show the collection of data and improved energy consumption of the sensor network using the proposed REAR algorithm in comparison with EEDG.","PeriodicalId":289224,"journal":{"name":"2022 International Conference on Business Analytics for Technology and Security (ICBATS)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Business Analytics for Technology and Security (ICBATS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICBATS54253.2022.9759046","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
Robust Energy Efficient Adaptive Routing Protocol (REARP) is being used in comparison to Energy Efficient Data gathering algorithm (EEDG) in order to avoid needless transmissions and balance energy consumption among sensors. The performance metrics of robust energy efficient adaptive routing protocol for transfer of data and balancing energy is compared with energy efficient data gathering algorithms. The algorithms are tested in a network simulator with independent samples of 16 for each group and obtained the dependent variables like improved energy efficiency, high throughput and high packet delivery ratio. The algorithm performance is verified and the result shows that Robust Energy Efficient Adaptive Routing algorithm outperforms the Energy Efficient Data gathering algorithm (EEDG) in terms of throughput, pdr and Energy. Throughput mean value is (1.3853), Energy consumption mean value is (1.0161) and Packet delivery ratio mean value is (94.7813) achieved using Robust Energy Efficient Adaptive Routing algorithm. statistical analysis shows that significant value(<0.01). The simulation results show the collection of data and improved energy consumption of the sensor network using the proposed REAR algorithm in comparison with EEDG.