一种基于图的最小路由器部署算法

D. Macharet, Niander N. De Assis, Dan N. G. Do Valle, Elerson R. S. Santos, M. Vieira, M. Campos
{"title":"一种基于图的最小路由器部署算法","authors":"D. Macharet, Niander N. De Assis, Dan N. G. Do Valle, Elerson R. S. Santos, M. Vieira, M. Campos","doi":"10.1109/SBR.LARS.ROBOCONTROL.2014.15","DOIUrl":null,"url":null,"abstract":"Recent advances in technology have led to robots with communication capability. These networked robots can provide a communication substrate by establishing a wireless network backbone. The wireless network is useful in many settings, such as urban search and rescue, fire fighting, military operations, and disaster response. Given a set of clients, such as fire-fighters, the network robots can establish a network backbone guaranteeing that all clients are connected. A fundamental problem is what is the minimal number of robots and where should they be placed to establish a network without any partition. In this work, we investigate the problem of calculating the position of the mobile networked robots so they can establish a communication backbone for a set of clients. We present a graph-based algorithm in order to calculate the position of the networked robots. The methodology was thoroughly evaluated through numerous trials considering different conditions, providing statistical examination of the final results. We compare our results with the Minimum Spanning Tree algorithm, which is useful as a standard algorithm for comparison. Our results show that our approach is correct and uses fewer robots.","PeriodicalId":264928,"journal":{"name":"2014 Joint Conference on Robotics: SBR-LARS Robotics Symposium and Robocontrol","volume":"92 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Graph-Based Algorithm for Minimum Router Deployment\",\"authors\":\"D. Macharet, Niander N. De Assis, Dan N. G. Do Valle, Elerson R. S. Santos, M. Vieira, M. Campos\",\"doi\":\"10.1109/SBR.LARS.ROBOCONTROL.2014.15\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Recent advances in technology have led to robots with communication capability. These networked robots can provide a communication substrate by establishing a wireless network backbone. The wireless network is useful in many settings, such as urban search and rescue, fire fighting, military operations, and disaster response. Given a set of clients, such as fire-fighters, the network robots can establish a network backbone guaranteeing that all clients are connected. A fundamental problem is what is the minimal number of robots and where should they be placed to establish a network without any partition. In this work, we investigate the problem of calculating the position of the mobile networked robots so they can establish a communication backbone for a set of clients. We present a graph-based algorithm in order to calculate the position of the networked robots. The methodology was thoroughly evaluated through numerous trials considering different conditions, providing statistical examination of the final results. We compare our results with the Minimum Spanning Tree algorithm, which is useful as a standard algorithm for comparison. Our results show that our approach is correct and uses fewer robots.\",\"PeriodicalId\":264928,\"journal\":{\"name\":\"2014 Joint Conference on Robotics: SBR-LARS Robotics Symposium and Robocontrol\",\"volume\":\"92 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-10-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 Joint Conference on Robotics: SBR-LARS Robotics Symposium and Robocontrol\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SBR.LARS.ROBOCONTROL.2014.15\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 Joint Conference on Robotics: SBR-LARS Robotics Symposium and Robocontrol","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SBR.LARS.ROBOCONTROL.2014.15","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

最近技术的进步使机器人具有了通信能力。这些联网机器人可以通过建立无线网络骨干网来提供通信基板。无线网络在很多情况下都很有用,比如城市搜索和救援、消防、军事行动和灾难响应。给定一组客户端,例如消防员,网络机器人可以建立一个网络骨干网,保证所有客户端都连接。一个根本的问题是机器人的最小数量是多少,它们应该放在哪里,以建立一个没有任何分区的网络。在这项工作中,我们研究了计算移动网络机器人位置的问题,以便它们可以为一组客户端建立通信骨干。为了计算联网机器人的位置,我们提出了一种基于图的算法。通过考虑不同条件的大量试验,对该方法进行了彻底评估,并对最终结果进行了统计检验。我们将我们的结果与最小生成树算法进行比较,最小生成树算法是一种有用的标准比较算法。我们的结果表明,我们的方法是正确的,使用更少的机器人。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Graph-Based Algorithm for Minimum Router Deployment
Recent advances in technology have led to robots with communication capability. These networked robots can provide a communication substrate by establishing a wireless network backbone. The wireless network is useful in many settings, such as urban search and rescue, fire fighting, military operations, and disaster response. Given a set of clients, such as fire-fighters, the network robots can establish a network backbone guaranteeing that all clients are connected. A fundamental problem is what is the minimal number of robots and where should they be placed to establish a network without any partition. In this work, we investigate the problem of calculating the position of the mobile networked robots so they can establish a communication backbone for a set of clients. We present a graph-based algorithm in order to calculate the position of the networked robots. The methodology was thoroughly evaluated through numerous trials considering different conditions, providing statistical examination of the final results. We compare our results with the Minimum Spanning Tree algorithm, which is useful as a standard algorithm for comparison. Our results show that our approach is correct and uses fewer robots.
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