特定传感器网络中的度量维度与机器人导航

Z. Shao, Pu Wu, Enqiang Zhu, Lanxiang Chen
{"title":"特定传感器网络中的度量维度与机器人导航","authors":"Z. Shao, Pu Wu, Enqiang Zhu, Lanxiang Chen","doi":"10.1109/CYBERC.2018.00072","DOIUrl":null,"url":null,"abstract":"The concept of metric dimension was proposed to model robot navigation where the places of navigating agents can change among nodes. The metric dimension md(G) of a graph G is the smallest number k for which G contains a vertex set W such that |W| = k and every pair of vertices of G possess different distances to at least one vertex in W. In this paper, we demonstrate that md(HDN1(n)) = 4 for n ≥ 2, this indicates that in this type of hex derived sensor networks, the least number of nodes needed is 4 for locating any other node in such a sensor network.","PeriodicalId":282903,"journal":{"name":"2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Metric Dimension and Robot Navigation in Specific Sensor Networks\",\"authors\":\"Z. Shao, Pu Wu, Enqiang Zhu, Lanxiang Chen\",\"doi\":\"10.1109/CYBERC.2018.00072\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The concept of metric dimension was proposed to model robot navigation where the places of navigating agents can change among nodes. The metric dimension md(G) of a graph G is the smallest number k for which G contains a vertex set W such that |W| = k and every pair of vertices of G possess different distances to at least one vertex in W. In this paper, we demonstrate that md(HDN1(n)) = 4 for n ≥ 2, this indicates that in this type of hex derived sensor networks, the least number of nodes needed is 4 for locating any other node in such a sensor network.\",\"PeriodicalId\":282903,\"journal\":{\"name\":\"2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CYBERC.2018.00072\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CYBERC.2018.00072","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

提出了度量维度的概念来建模机器人导航,其中导航agent的位置可以在节点间改变。度量维度md (G)的图G是最小的数k的G包含一组顶点W W, | | = k和G的每一对顶点具有不同距离至少一个顶点在W .本文我们证明md (HDN1 (n)) = 4 n≥2,这表明在这种十六进制派生的传感器网络,节点的最少需要4定位在这样一个传感器网络其他节点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Metric Dimension and Robot Navigation in Specific Sensor Networks
The concept of metric dimension was proposed to model robot navigation where the places of navigating agents can change among nodes. The metric dimension md(G) of a graph G is the smallest number k for which G contains a vertex set W such that |W| = k and every pair of vertices of G possess different distances to at least one vertex in W. In this paper, we demonstrate that md(HDN1(n)) = 4 for n ≥ 2, this indicates that in this type of hex derived sensor networks, the least number of nodes needed is 4 for locating any other node in such a sensor network.
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
期刊最新文献
Information Fusion VIA Optimized KECA with Application to Audio Emotion Recognition Application Research of YOLO v2 Combined with Color Identification Decentralized Cross-Layer Optimization for Energy-Efficient Resource Allocation in HetNets A Smart QoE Aware Network Selection Solution for IoT Systems in HetNets Based 5G Scenarios Improving Word Representation with Word Pair Distributional Asymmetry
×
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