{"title":"基于鲁棒高能效自适应路由协议的水下无线传感器网络数据采集性能改进与高能效数据采集算法比较","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":"{\"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}","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
摘要
为了避免不必要的传输和平衡传感器之间的能量消耗,与节能数据收集算法(EEDG)相比,采用鲁棒节能自适应路由协议(REARP)。比较了鲁棒节能自适应路由协议在数据传输和能量平衡方面与节能数据采集算法的性能指标。在网络模拟器上对算法进行了测试,每组独立样本为16个,得到了提高能效、高吞吐量和高数据包传输率等因变量。验证了算法的性能,结果表明鲁棒节能自适应路由算法在吞吐量、pdr和能耗方面优于节能数据采集算法(Energy Efficient Data gathering algorithm, EEDG)。采用鲁棒节能自适应路由算法,吞吐量均值为1.3853,能耗均值为1.0161,包投递率均值为94.7813。经统计学分析,差异有统计学意义(<0.01)。仿真结果表明,与EEDG算法相比,提出的REAR算法收集了大量的数据,提高了传感器网络的能耗。
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
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.