一种基于猫群优化的无线传感器网络节点定位算法

IF 0.9 4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Journal of Internet Technology Pub Date : 2021-09-01 DOI:10.53106/160792642021092205001
Jeng-Shyang Pan, Jiao Wang, Jinfeng Lai, Hao Luo, S. Chu
{"title":"一种基于猫群优化的无线传感器网络节点定位算法","authors":"Jeng-Shyang Pan, Jiao Wang, Jinfeng Lai, Hao Luo, S. Chu","doi":"10.53106/160792642021092205001","DOIUrl":null,"url":null,"abstract":"Two factors, accuracy and cost, have always plagued the node positing in wireless sensor networks (WSN). If positioning is required to be accurate enough, the cost of equipment required for the location must increase significantly. Conversely, the lower cost will bring some problems like the big bias of positioning. DV-hop is a widely used positioning algorithm due to its low dependence on the device and the low operating cost. Many modified DV-hop algorithms improve the estimation accuracy of the average jump distance and the distance between the unknown and known nodes by adding weights, applying least squares, and using heuristic algorithms. In this paper, a novel algorithm based on the modes communication for the parallel cat swarm optimization is proposed so as to improve the location accuracy of DV-hop.","PeriodicalId":50172,"journal":{"name":"Journal of Internet Technology","volume":"22 1","pages":"949-956"},"PeriodicalIF":0.9000,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"A Modes Communication of Cat Swarm Optimization Based WSN Node Location Algorithm\",\"authors\":\"Jeng-Shyang Pan, Jiao Wang, Jinfeng Lai, Hao Luo, S. Chu\",\"doi\":\"10.53106/160792642021092205001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Two factors, accuracy and cost, have always plagued the node positing in wireless sensor networks (WSN). If positioning is required to be accurate enough, the cost of equipment required for the location must increase significantly. Conversely, the lower cost will bring some problems like the big bias of positioning. DV-hop is a widely used positioning algorithm due to its low dependence on the device and the low operating cost. Many modified DV-hop algorithms improve the estimation accuracy of the average jump distance and the distance between the unknown and known nodes by adding weights, applying least squares, and using heuristic algorithms. In this paper, a novel algorithm based on the modes communication for the parallel cat swarm optimization is proposed so as to improve the location accuracy of DV-hop.\",\"PeriodicalId\":50172,\"journal\":{\"name\":\"Journal of Internet Technology\",\"volume\":\"22 1\",\"pages\":\"949-956\"},\"PeriodicalIF\":0.9000,\"publicationDate\":\"2021-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Internet Technology\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.53106/160792642021092205001\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Internet Technology","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.53106/160792642021092205001","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 6

摘要

在无线传感器网络(WSN)中,精度和成本一直是困扰节点定位的两个因素。如果要求定位足够精确,那么定位所需的设备成本必然会显著增加。相反,低成本会带来一些问题,比如定位偏差大。由于DV-hop对设备的依赖性低,运行成本低,是一种应用广泛的定位算法。许多改进的DV-hop算法通过添加权值、应用最小二乘和使用启发式算法来提高平均跳距和未知节点与已知节点之间距离的估计精度。为了提高DV-hop的定位精度,提出了一种基于模式通信的并行猫群优化算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
A Modes Communication of Cat Swarm Optimization Based WSN Node Location Algorithm
Two factors, accuracy and cost, have always plagued the node positing in wireless sensor networks (WSN). If positioning is required to be accurate enough, the cost of equipment required for the location must increase significantly. Conversely, the lower cost will bring some problems like the big bias of positioning. DV-hop is a widely used positioning algorithm due to its low dependence on the device and the low operating cost. Many modified DV-hop algorithms improve the estimation accuracy of the average jump distance and the distance between the unknown and known nodes by adding weights, applying least squares, and using heuristic algorithms. In this paper, a novel algorithm based on the modes communication for the parallel cat swarm optimization is proposed so as to improve the location accuracy of DV-hop.
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
Journal of Internet Technology
Journal of Internet Technology COMPUTER SCIENCE, INFORMATION SYSTEMS-TELECOMMUNICATIONS
CiteScore
3.20
自引率
18.80%
发文量
112
审稿时长
13.8 months
期刊介绍: The Journal of Internet Technology accepts original technical articles in all disciplines of Internet Technology & Applications. Manuscripts are submitted for review with the understanding that they have not been published elsewhere. Topics of interest to JIT include but not limited to: Broadband Networks Electronic service systems (Internet, Intranet, Extranet, E-Commerce, E-Business) Network Management Network Operating System (NOS) Intelligent systems engineering Government or Staff Jobs Computerization National Information Policy Multimedia systems Network Behavior Modeling Wireless/Satellite Communication Digital Library Distance Learning Internet/WWW Applications Telecommunication Networks Security in Networks and Systems Cloud Computing Internet of Things (IoT) IPv6 related topics are especially welcome.
期刊最新文献
Abnormal Detection Method of Transship Based on Marine Target Spatio-Temporal Data Multidimensional Concept Map Representation of the Learning Objects Ontology Model for Personalized Learning Multiscale Convolutional Attention-based Residual Network Expression Recognition A Dynamic Access Control Scheme with Conditional Anonymity in Socio-Meteorological Observation A Behaviorally Evidence-based Method for Computing Spatial Comparisons of Image Scenarios
×
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