Ship speed detection using Wireless Sensor Networks with three nodes

A. S. Arifin, I. Rafif
{"title":"Ship speed detection using Wireless Sensor Networks with three nodes","authors":"A. S. Arifin, I. Rafif","doi":"10.1109/ICRAMET.2016.7849598","DOIUrl":null,"url":null,"abstract":"Ship detection is a crucial surveillance problem for the country with long coastlines. The problems are such as border security, illegal fishing, and harbor protection. To overcome those problems, radar and satellite surveillance have been used widely. However, radar and satellite are very expensive. Particularly, satellite is easily affected by the cloud which makes difficult for detection. Moreover, radar is also sensitive to the noise clutter generated by uneven sea surface. We propose ship detection using Wireless Sensor Networks (WSN). We derive a ship speed estimation formula using three cooperative sensors to increase the number of node efficiency. We use our formula to calculate speed of the ship. Initially, sensors detect a ship generated wave and send the timestamp to the Fusion Center (FC). FC collects the timestamps from three sensors and estimate speed of ship. We also compare our propose formula with four sensors. We make an experimental setup with the distance between sensors being 2 meters. The experimental results show that estimation speed error of using our formula (53.33%) is lower than four sensors formula (183.33%).","PeriodicalId":132981,"journal":{"name":"2016 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICRAMET.2016.7849598","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Ship detection is a crucial surveillance problem for the country with long coastlines. The problems are such as border security, illegal fishing, and harbor protection. To overcome those problems, radar and satellite surveillance have been used widely. However, radar and satellite are very expensive. Particularly, satellite is easily affected by the cloud which makes difficult for detection. Moreover, radar is also sensitive to the noise clutter generated by uneven sea surface. We propose ship detection using Wireless Sensor Networks (WSN). We derive a ship speed estimation formula using three cooperative sensors to increase the number of node efficiency. We use our formula to calculate speed of the ship. Initially, sensors detect a ship generated wave and send the timestamp to the Fusion Center (FC). FC collects the timestamps from three sensors and estimate speed of ship. We also compare our propose formula with four sensors. We make an experimental setup with the distance between sensors being 2 meters. The experimental results show that estimation speed error of using our formula (53.33%) is lower than four sensors formula (183.33%).
基于三节点无线传感器网络的航速检测
对于海岸线较长的国家来说,船舶探测是一个至关重要的监视问题。这些问题包括边境安全、非法捕鱼和港口保护。为了克服这些问题,雷达和卫星监视已被广泛使用。然而,雷达和卫星非常昂贵。特别是卫星容易受到云层的影响,给探测带来困难。此外,雷达对海面不均匀产生的杂波也很敏感。我们提出了利用无线传感器网络(WSN)进行船舶检测。为了提高节点数效率,我们推导了一种利用三个协同传感器的航速估计公式。我们用公式计算船的速度。最初,传感器检测到船只产生的波浪,并将时间戳发送到融合中心(FC)。FC从三个传感器收集时间戳并估计船舶速度。我们还将所提出的公式与四种传感器进行了比较。我们做了一个实验装置,传感器之间的距离为2米。实验结果表明,该公式估计速度误差(53.33%)低于四传感器公式估计速度误差(183.33%)。
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 求助全文
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:604180095
Book学术官方微信