Research on Bacterial Foraging Optimization Algorithm for DV-Hop Localization

Zhenjie Pan, Wei Xia
{"title":"Research on Bacterial Foraging Optimization Algorithm for DV-Hop Localization","authors":"Zhenjie Pan, Wei Xia","doi":"10.1109/ISCIT55906.2022.9931221","DOIUrl":null,"url":null,"abstract":"Bacterial foraging optimization (BFO) has attracted much attention and been widely applied in a variety of scientific and engineering applications since its inception. This paper proposes a DV -Hop localization algorithm based on bacterial foraging optimization by analysing the DV -Hop localization algorithm which lack of positioning in the wireless sensor network location. To improve the positioning accuracy of DV -Hop algorithm the algorithm use bacterial foraging algorithm to locate the position of the third step in the DV-Hop unknown node. Experimental results show that the algorithm proposed in this paper has better localization effect than the basic DV _Hop algorithm, and it effectively improves the location accuracy, which proves the validity of our proposed method.","PeriodicalId":325919,"journal":{"name":"2022 21st International Symposium on Communications and Information Technologies (ISCIT)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 21st International Symposium on Communications and Information Technologies (ISCIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCIT55906.2022.9931221","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Bacterial foraging optimization (BFO) has attracted much attention and been widely applied in a variety of scientific and engineering applications since its inception. This paper proposes a DV -Hop localization algorithm based on bacterial foraging optimization by analysing the DV -Hop localization algorithm which lack of positioning in the wireless sensor network location. To improve the positioning accuracy of DV -Hop algorithm the algorithm use bacterial foraging algorithm to locate the position of the third step in the DV-Hop unknown node. Experimental results show that the algorithm proposed in this paper has better localization effect than the basic DV _Hop algorithm, and it effectively improves the location accuracy, which proves the validity of our proposed method.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
DV-Hop定位的细菌觅食优化算法研究
细菌觅食优化(Bacterial foraging optimization, BFO)自提出以来就受到了广泛的关注,并在各种科学和工程应用中得到了广泛的应用。通过分析无线传感器网络定位中缺乏定位的DV -Hop定位算法,提出了一种基于细菌觅食优化的DV -Hop定位算法。为了提高DV-Hop算法的定位精度,该算法采用细菌觅食算法在DV-Hop未知节点上定位第三步的位置。实验结果表明,本文算法比基本的DV _Hop算法具有更好的定位效果,有效地提高了定位精度,证明了本文方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Running Pace Adjustment and Training Distance Fitting with Fuzzy Logic and Machine Learning Low Quality Samples Detection in Motor Imagery EEG Data by Combining Independent Component Analysis and Confident Learning Application and Certification Mechanism of Active Identification Carrier in the Industrial Internet Fuzzy Logic Based Agent Selection for Failure Management in VANETs A Knowledge- Distillation - Integrated Pruning Method for Vision Transformer
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1