基于AUV群的入侵物种移动传感器网络研究

Mark Allison, Heather Dawson, Grant Rusin
{"title":"基于AUV群的入侵物种移动传感器网络研究","authors":"Mark Allison, Heather Dawson, Grant Rusin","doi":"10.1109/UV.2018.8642151","DOIUrl":null,"url":null,"abstract":"Ecological data acquisition, refinement, and analysis methods have not kept pace with advancements in mobile sensor technology and applications of machine learning techniques due to the typical “stovepiping” of the sciences. Environmental sensor networks are an emerging technology which leverages advances in distributed sensing to realize real time rich data streams for researchers. When this network is made mobile it presents a disruptive technology with the potential to reveal new phenomena and questions as observations, that were once too dangerous or costly to obtain, becomes possible. In this concept paper, we motivate and present preliminaries in our investigation pertaining to the use of Autonomous Underwater Vehicles (AUVs) in swarms to realize a mobile sensor network targeting invasive species in the Great Lakes.","PeriodicalId":110658,"journal":{"name":"2018 4th International Conference on Universal Village (UV)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Towards an AUV Swarm Based Mobile Underwater Sensor Network for Invasive Species Data Acquisition\",\"authors\":\"Mark Allison, Heather Dawson, Grant Rusin\",\"doi\":\"10.1109/UV.2018.8642151\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Ecological data acquisition, refinement, and analysis methods have not kept pace with advancements in mobile sensor technology and applications of machine learning techniques due to the typical “stovepiping” of the sciences. Environmental sensor networks are an emerging technology which leverages advances in distributed sensing to realize real time rich data streams for researchers. When this network is made mobile it presents a disruptive technology with the potential to reveal new phenomena and questions as observations, that were once too dangerous or costly to obtain, becomes possible. In this concept paper, we motivate and present preliminaries in our investigation pertaining to the use of Autonomous Underwater Vehicles (AUVs) in swarms to realize a mobile sensor network targeting invasive species in the Great Lakes.\",\"PeriodicalId\":110658,\"journal\":{\"name\":\"2018 4th International Conference on Universal Village (UV)\",\"volume\":\"41 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 4th International Conference on Universal Village (UV)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/UV.2018.8642151\",\"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 4th International Conference on Universal Village (UV)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/UV.2018.8642151","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

摘要

由于典型的“烟囱式”科学,生态数据采集、细化和分析方法并没有跟上移动传感器技术和机器学习技术应用的步伐。环境传感器网络是一种新兴技术,它利用分布式传感技术的进步为研究人员实现实时丰富的数据流。当这个网络实现移动化时,它就会呈现出一种颠覆性的技术,有可能揭示新的现象和问题,因为观察结果曾经太危险或太昂贵而无法获得,现在成为可能。在这篇概念论文中,我们激励并初步介绍了我们关于使用自主水下航行器(auv)在群体中实现针对五大湖入侵物种的移动传感器网络的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards an AUV Swarm Based Mobile Underwater Sensor Network for Invasive Species Data Acquisition
Ecological data acquisition, refinement, and analysis methods have not kept pace with advancements in mobile sensor technology and applications of machine learning techniques due to the typical “stovepiping” of the sciences. Environmental sensor networks are an emerging technology which leverages advances in distributed sensing to realize real time rich data streams for researchers. When this network is made mobile it presents a disruptive technology with the potential to reveal new phenomena and questions as observations, that were once too dangerous or costly to obtain, becomes possible. In this concept paper, we motivate and present preliminaries in our investigation pertaining to the use of Autonomous Underwater Vehicles (AUVs) in swarms to realize a mobile sensor network targeting invasive species in the Great Lakes.
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