基于双向链路质量估计的无线传感器网络节能转发路由算法

Hugo Rodríguez, Jimmy Tarrillo
{"title":"基于双向链路质量估计的无线传感器网络节能转发路由算法","authors":"Hugo Rodríguez, Jimmy Tarrillo","doi":"10.1109/SBCCI55532.2022.9893221","DOIUrl":null,"url":null,"abstract":"This work proposes a low energy forwarding routing algorithm for Wireless Sensor Networks (WSN). The proposed algorithm is based on the Minimum Cost Forwarding Algorithm (MCFA) and utilizes a cost function in order to determine the best transmission routes with the lowest energy consumption. The proposed cost function is calculated considering the link quality between nodes and the transmission cost of the neighboring nodes. The link quality is estimated in a bidirectional way, which means it considers reception quality and transmission quality, and is power aware. For the reception quality WMEWMA is used, and for the transmission quality the power of the transceiver and the number of transmission attempts are considered. The performance of the proposed algorithm is tested in three scenarios and compared with the performance in the same scenarios of MCFA as routing algorithm with WMEWMA as cost function. For the purpose of testing, physical nodes were designed and built using ATmega328P microprocessor and nRF24L01 transceiver.","PeriodicalId":231587,"journal":{"name":"2022 35th SBC/SBMicro/IEEE/ACM Symposium on Integrated Circuits and Systems Design (SBCCI)","volume":"06 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Energy-Efficient Forwarding Routing Algorithm with bidirectional link quality estimator for Wireless Sensor Networks\",\"authors\":\"Hugo Rodríguez, Jimmy Tarrillo\",\"doi\":\"10.1109/SBCCI55532.2022.9893221\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work proposes a low energy forwarding routing algorithm for Wireless Sensor Networks (WSN). The proposed algorithm is based on the Minimum Cost Forwarding Algorithm (MCFA) and utilizes a cost function in order to determine the best transmission routes with the lowest energy consumption. The proposed cost function is calculated considering the link quality between nodes and the transmission cost of the neighboring nodes. The link quality is estimated in a bidirectional way, which means it considers reception quality and transmission quality, and is power aware. For the reception quality WMEWMA is used, and for the transmission quality the power of the transceiver and the number of transmission attempts are considered. The performance of the proposed algorithm is tested in three scenarios and compared with the performance in the same scenarios of MCFA as routing algorithm with WMEWMA as cost function. For the purpose of testing, physical nodes were designed and built using ATmega328P microprocessor and nRF24L01 transceiver.\",\"PeriodicalId\":231587,\"journal\":{\"name\":\"2022 35th SBC/SBMicro/IEEE/ACM Symposium on Integrated Circuits and Systems Design (SBCCI)\",\"volume\":\"06 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-08-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 35th SBC/SBMicro/IEEE/ACM Symposium on Integrated Circuits and Systems Design (SBCCI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SBCCI55532.2022.9893221\",\"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 35th SBC/SBMicro/IEEE/ACM Symposium on Integrated Circuits and Systems Design (SBCCI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SBCCI55532.2022.9893221","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

本文提出了一种无线传感器网络(WSN)的低能量转发路由算法。该算法以最小代价转发算法(Minimum Cost Forwarding algorithm, MCFA)为基础,利用代价函数确定能量消耗最低的最佳传输路径。考虑了节点间的链路质量和相邻节点的传输成本,计算了所提出的代价函数。链路质量是双向估计的,即考虑接收质量和传输质量,并且是功率感知的。对于接收质量采用WMEWMA,对于传输质量则考虑收发器的功率和传输尝试次数。在三种场景下测试了该算法的性能,并与以WMEWMA为代价函数的MCFA作为路由算法在相同场景下的性能进行了比较。为了测试,使用ATmega328P微处理器和nRF24L01收发器设计和构建了物理节点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Energy-Efficient Forwarding Routing Algorithm with bidirectional link quality estimator for Wireless Sensor Networks
This work proposes a low energy forwarding routing algorithm for Wireless Sensor Networks (WSN). The proposed algorithm is based on the Minimum Cost Forwarding Algorithm (MCFA) and utilizes a cost function in order to determine the best transmission routes with the lowest energy consumption. The proposed cost function is calculated considering the link quality between nodes and the transmission cost of the neighboring nodes. The link quality is estimated in a bidirectional way, which means it considers reception quality and transmission quality, and is power aware. For the reception quality WMEWMA is used, and for the transmission quality the power of the transceiver and the number of transmission attempts are considered. The performance of the proposed algorithm is tested in three scenarios and compared with the performance in the same scenarios of MCFA as routing algorithm with WMEWMA as cost function. For the purpose of testing, physical nodes were designed and built using ATmega328P microprocessor and nRF24L01 transceiver.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信