• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

基于水下无线传感器网络导航图的数据访问

Data Access Based on a Guide Map of the Underwater Wireless Sensor Network.

作者信息

Wei Zhengxian, Song Min, Yin Guisheng, Song Houbing, Wang Hongbin, Ma Xuefei, Cheng Albert M K

机构信息

College of Computer Science and Technology, Harbin Engineering University, Harbin 150001, China.

System Engineering Innovation Center, Systems Engineering Research Institute, Beijing 100094, China.

出版信息

Sensors (Basel). 2017 Oct 17;17(10):2374. doi: 10.3390/s17102374.

DOI:10.3390/s17102374
PMID:29039757
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5676624/
Abstract

Underwater wireless sensor networks (UWSNs) represent an area of increasing research interest, as data storage, discovery, and query of UWSNs are always challenging issues. In this paper, a data access based on a guide map (DAGM) method is proposed for UWSNs. In DAGM, the metadata describes the abstracts of data content and the storage location. The center ring is composed of nodes according to the shortest average data query path in the network in order to store the metadata, and the data guide map organizes, diffuses and synchronizes the metadata in the center ring, providing the most time-saving and energy-efficient data query service for the user. For this method, firstly the data is stored in the UWSN. The storage node is determined, the data is transmitted from the sensor node (data generation source) to the storage node, and the metadata is generated for it. Then, the metadata is sent to the center ring node that is the nearest to the storage node and the data guide map organizes the metadata, diffusing and synchronizing it to the other center ring nodes. Finally, when there is query data in any user node, the data guide map will select a center ring node nearest to the user to process the query sentence, and based on the shortest transmission delay and lowest energy consumption, data transmission routing is generated according to the storage location abstract in the metadata. Hence, specific application data transmission from the storage node to the user is completed. The simulation results demonstrate that DAGM has advantages with respect to data access time and network energy consumption.

摘要

水下无线传感器网络(UWSNs)是一个研究兴趣日益增加的领域,因为UWSNs的数据存储、发现和查询一直是具有挑战性的问题。本文针对UWSNs提出了一种基于引导图(DAGM)的数据访问方法。在DAGM中,元数据描述数据内容的摘要和存储位置。中心环由根据网络中最短平均数据查询路径的节点组成,用于存储元数据,数据引导图在中心环中组织、扩散和同步元数据,为用户提供最省时、节能的数据查询服务。对于该方法,首先将数据存储在UWSN中。确定存储节点,将数据从传感器节点(数据生成源)传输到存储节点,并为其生成元数据。然后,将元数据发送到离存储节点最近的中心环节点,数据引导图组织元数据,将其扩散并同步到其他中心环节点。最后,当任何用户节点中有查询数据时,数据引导图将选择离用户最近的中心环节点来处理查询语句,并基于最短传输延迟和最低能耗,根据元数据中的存储位置摘要生成数据传输路由。从而完成从存储节点到用户的特定应用数据传输。仿真结果表明,DAGM在数据访问时间和网络能耗方面具有优势。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8bd2/5676624/c067ed879bb3/sensors-17-02374-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8bd2/5676624/52fbc6f01b23/sensors-17-02374-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8bd2/5676624/736d99140a71/sensors-17-02374-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8bd2/5676624/97a7862f7342/sensors-17-02374-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8bd2/5676624/757ea4688995/sensors-17-02374-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8bd2/5676624/e516b72fb4f6/sensors-17-02374-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8bd2/5676624/aeb818bc1288/sensors-17-02374-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8bd2/5676624/5e74e97753c1/sensors-17-02374-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8bd2/5676624/c067ed879bb3/sensors-17-02374-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8bd2/5676624/52fbc6f01b23/sensors-17-02374-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8bd2/5676624/736d99140a71/sensors-17-02374-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8bd2/5676624/97a7862f7342/sensors-17-02374-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8bd2/5676624/757ea4688995/sensors-17-02374-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8bd2/5676624/e516b72fb4f6/sensors-17-02374-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8bd2/5676624/aeb818bc1288/sensors-17-02374-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8bd2/5676624/5e74e97753c1/sensors-17-02374-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8bd2/5676624/c067ed879bb3/sensors-17-02374-g008.jpg

相似文献

1
Data Access Based on a Guide Map of the Underwater Wireless Sensor Network.基于水下无线传感器网络导航图的数据访问
Sensors (Basel). 2017 Oct 17;17(10):2374. doi: 10.3390/s17102374.
2
Self-Organized Proactive Routing Protocol for Non-Uniformly Deployed Underwater Networks.自组织主动式路由协议在非均匀部署水下网络中的应用。
Sensors (Basel). 2019 Dec 12;19(24):5487. doi: 10.3390/s19245487.
3
Energy-Efficient Depth-Based Opportunistic Routing with Q-Learning for Underwater Wireless Sensor Networks.基于Q学习的水下无线传感器网络节能深度机会路由
Sensors (Basel). 2020 Feb 14;20(4):1025. doi: 10.3390/s20041025.
4
Energy harvesting based routing protocol for underwater sensor networks.基于能量收集的水下传感器网络路由协议。
PLoS One. 2019 Jul 17;14(7):e0219459. doi: 10.1371/journal.pone.0219459. eCollection 2019.
5
An Efficient Data-Gathering Routing Protocol for Underwater Wireless Sensor Networks.一种用于水下无线传感器网络的高效数据收集路由协议。
Sensors (Basel). 2015 Nov 17;15(11):29149-81. doi: 10.3390/s151129149.
6
An Uneven Node Self-Deployment Optimization Algorithm for Maximized Coverage and Energy Balance in Underwater Wireless Sensor Networks.一种用于水下无线传感器网络最大化覆盖和能量平衡的不均匀节点自部署优化算法
Sensors (Basel). 2021 Feb 15;21(4):1368. doi: 10.3390/s21041368.
7
DOIDS: An Intrusion Detection Scheme Based on DBSCAN for Opportunistic Routing in Underwater Wireless Sensor Networks.DOIDS:一种基于 DBSCAN 的水下无线传感器网络机会路由入侵检测方案。
Sensors (Basel). 2023 Feb 13;23(4):2096. doi: 10.3390/s23042096.
8
Advancements in Neighboring-Based Energy-Efficient Routing Protocol (NBEER) for Underwater Wireless Sensor Networks.基于邻居的节能路由协议 (NBEER) 在水下无线传感器网络中的应用进展。
Sensors (Basel). 2023 Jun 29;23(13):6025. doi: 10.3390/s23136025.
9
A Novel Cross-Layer Routing Protocol Based on Network Coding for Underwater Sensor Networks.一种基于网络编码的水下传感器网络新型跨层路由协议。
Sensors (Basel). 2017 Aug 8;17(8):1821. doi: 10.3390/s17081821.
10
An Efficient Routing Protocol Based on Stretched Holding Time Difference for Underwater Wireless Sensor Networks.基于拉伸保持时间差的水下无线传感器网络高效路由协议。
Sensors (Basel). 2019 Dec 16;19(24):5557. doi: 10.3390/s19245557.

本文引用的文献

1
Cross Deployment Networking and Systematic Performance Analysis of Underwater Wireless Sensor Networks.水下无线传感器网络的交叉部署网络与系统性能分析
Sensors (Basel). 2017 Jul 12;17(7):1619. doi: 10.3390/s17071619.
2
Decision fractional fast Fourier transform Doppler compensation in underwater acoustic orthogonal frequency division multiplexing.水下声学正交频分复用中的判决分数阶快速傅里叶变换多普勒补偿
J Acoust Soc Am. 2016 Nov;140(5):EL429. doi: 10.1121/1.4967785.
3
Event Coverage Detection and Event Source Determination in Underwater Wireless Sensor Networks.
水下无线传感器网络中的事件覆盖检测与事件源确定
Sensors (Basel). 2015 Dec 15;15(12):31620-43. doi: 10.3390/s151229875.
4
LPTA: location predictive and time adaptive data gathering scheme with mobile sink for wireless sensor networks.LPTA:用于无线传感器网络的带移动汇聚节点的位置预测与时间自适应数据收集方案
ScientificWorldJournal. 2014;2014:476253. doi: 10.1155/2014/476253. Epub 2014 Sep 3.
5
Underwater sensor nodes and networks.水下传感器节点和网络。
Sensors (Basel). 2013 Sep 5;13(9):11782-96. doi: 10.3390/s130911782.
6
A query result merging scheme for providing energy efficiency in underwater sensor networks.一种用于提供水下传感器网络能效的查询结果合并方案。
Sensors (Basel). 2011;11(12):11833-55. doi: 10.3390/s111211833. Epub 2011 Dec 20.
7
Underwater sensor networks: applications, advances and challenges.水下传感器网络:应用、进展与挑战。
Philos Trans A Math Phys Eng Sci. 2012 Jan 13;370(1958):158-75. doi: 10.1098/rsta.2011.0214.