Channel replay-based performance evaluation of protocols for underwater routing

S. Basagni, C. Petrioli, R. Petroccia, D. Spaccini
{"title":"Channel replay-based performance evaluation of protocols for underwater routing","authors":"S. Basagni, C. Petrioli, R. Petroccia, D. Spaccini","doi":"10.1109/OCEANS.2014.7003149","DOIUrl":null,"url":null,"abstract":"The paper presents a comparative performance evaluation of two routing protocols for underwater wireless sensor networks (UWSNs). The two protocols are the Channel-Aware Routing Protocol (CARP), exemplary of a cross layer approach to underwater routing, and a simple variation of common flooding, called EFlood, where performance is enhanced by introducing random re-transmission times. The scenarios we consider are obtained via simulations and from trials at sea performed under a collaboration agreement between the University of Roma “La Sapienza” and the NATO Science and Technology Organization Centre for Maritime Research and Experimentation (STO CMRE). Two sets of simulations results are shown where the physical layer is modeled by a ray-traced channel as well as by replaying real channel traces, under the same network configuration. Results are also reported from campaigns of experiments at sea. Comparing all results shows how channel replay mimics faithfully actual channel dynamics with respect to what is achievable through a simulated channel model, thus demonstrating the effectiveness of this technique for a fair and repeatable performance comparison of solutions for UWSNs.","PeriodicalId":368693,"journal":{"name":"2014 Oceans - St. John's","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 Oceans - St. John's","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/OCEANS.2014.7003149","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 13

Abstract

The paper presents a comparative performance evaluation of two routing protocols for underwater wireless sensor networks (UWSNs). The two protocols are the Channel-Aware Routing Protocol (CARP), exemplary of a cross layer approach to underwater routing, and a simple variation of common flooding, called EFlood, where performance is enhanced by introducing random re-transmission times. The scenarios we consider are obtained via simulations and from trials at sea performed under a collaboration agreement between the University of Roma “La Sapienza” and the NATO Science and Technology Organization Centre for Maritime Research and Experimentation (STO CMRE). Two sets of simulations results are shown where the physical layer is modeled by a ray-traced channel as well as by replaying real channel traces, under the same network configuration. Results are also reported from campaigns of experiments at sea. Comparing all results shows how channel replay mimics faithfully actual channel dynamics with respect to what is achievable through a simulated channel model, thus demonstrating the effectiveness of this technique for a fair and repeatable performance comparison of solutions for UWSNs.
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
基于信道重放的水下路由协议性能评估
本文对水下无线传感器网络中两种路由协议的性能进行了比较评估。这两种协议分别是通道感知路由协议(CARP),这是水下路由跨层方法的典范,以及常见泛洪的一种简单变体,称为efflood,其中通过引入随机重传时间来增强性能。我们考虑的场景是通过模拟和根据罗马大学“La Sapienza”和北约科学技术组织海事研究和实验中心(STO CMRE)之间的合作协议进行的海上试验获得的。在相同的网络配置下,显示了两组模拟结果,其中物理层是通过光线跟踪通道和重放真实通道轨迹来建模的。还报告了海上实验活动的结果。通过对所有结果的比较,可以看到信道重放如何忠实地模拟实际信道动态,以及通过模拟信道模型可以实现的内容,从而证明了该技术对于uwsn解决方案的公平和可重复性能比较的有效性。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A new segmentation approach for unimodal image histograms: Application to the detection of regions of interest in sonar images Electronic navigational chart generator for a marine mobile augmented reality system A hybrid registration approach combining SLAM and elastic matching for automatic side-scan sonar mosaic Unsupervised knowledge discovery of seabed types using competitive neural network: Application to sidescan sonar images European multidisciplinary seafloor and water-column observatory (EMSO): Power and Internet to European waters
×
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