• 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

SITRUS:无线传感器网络的语义基础设施

SITRUS: Semantic Infrastructure for Wireless Sensor Networks.

作者信息

Bispo Kalil A, Rosa Nelson S, Cunha Paulo R F

机构信息

Department of Computer Science (DCOMP), Federal University of Sergipe (UFS), Aracaju, SE 49100-000, Brazil.

Centre of Informatics (CIn), Federal University of Pernambuco (UFPE), Recife, PE 50740-560, Brazil.

出版信息

Sensors (Basel). 2015 Oct 29;15(11):27436-69. doi: 10.3390/s151127436.

DOI:10.3390/s151127436
PMID:26528974
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4701240/
Abstract

Wireless sensor networks (WSNs) are made up of nodes with limited resources, such as processing, bandwidth, memory and, most importantly, energy. For this reason, it is essential that WSNs always work to reduce the power consumption as much as possible in order to maximize its lifetime. In this context, this paper presents SITRUS (semantic infrastructure for wireless sensor networks), which aims to reduce the power consumption of WSN nodes using ontologies. SITRUS consists of two major parts: a message-oriented middleware responsible for both an oriented message communication service and a reconfiguration service; and a semantic information processing module whose purpose is to generate a semantic database that provides the basis to decide whether a WSN node needs to be reconfigurated or not. In order to evaluate the proposed solution, we carried out an experimental evaluation to assess the power consumption and memory usage of WSN applications built atop SITRUS.

摘要

无线传感器网络(WSN)由资源有限的节点组成,这些资源包括处理能力、带宽、内存,而最重要的是能量。因此,无线传感器网络必须始终尽可能地降低功耗,以延长其使用寿命。在此背景下,本文提出了SITRUS(无线传感器网络语义基础设施),旨在使用本体来降低无线传感器网络节点的功耗。SITRUS由两个主要部分组成:一个面向消息的中间件,负责面向消息的通信服务和重新配置服务;以及一个语义信息处理模块,其目的是生成一个语义数据库,为决定无线传感器网络节点是否需要重新配置提供依据。为了评估所提出的解决方案,我们进行了一项实验评估,以评估构建在SITRUS之上的无线传感器网络应用的功耗和内存使用情况。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/032f/4701240/e422b3caad77/sensors-15-27436-g022.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/032f/4701240/30a8a84ef628/sensors-15-27436-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/032f/4701240/92cc18fa4147/sensors-15-27436-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/032f/4701240/d899f6c35e50/sensors-15-27436-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/032f/4701240/02770029aaaf/sensors-15-27436-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/032f/4701240/493e45c8eb3a/sensors-15-27436-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/032f/4701240/cb22b6687422/sensors-15-27436-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/032f/4701240/66e3eeba52e3/sensors-15-27436-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/032f/4701240/6c932f5b1e18/sensors-15-27436-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/032f/4701240/19dc4f342091/sensors-15-27436-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/032f/4701240/ca7ff021a3b5/sensors-15-27436-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/032f/4701240/59f2befbe206/sensors-15-27436-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/032f/4701240/cf330d085e10/sensors-15-27436-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/032f/4701240/74dc326b5861/sensors-15-27436-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/032f/4701240/a1bcc2555aa8/sensors-15-27436-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/032f/4701240/af4ddc48b61a/sensors-15-27436-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/032f/4701240/872b63dbee3c/sensors-15-27436-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/032f/4701240/b12f137c77d4/sensors-15-27436-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/032f/4701240/2e5c2bed6eb7/sensors-15-27436-g018.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/032f/4701240/36e80120d11b/sensors-15-27436-g019.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/032f/4701240/dfce9f7298f5/sensors-15-27436-g020.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/032f/4701240/cdfd658442b5/sensors-15-27436-g021.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/032f/4701240/e422b3caad77/sensors-15-27436-g022.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/032f/4701240/30a8a84ef628/sensors-15-27436-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/032f/4701240/92cc18fa4147/sensors-15-27436-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/032f/4701240/d899f6c35e50/sensors-15-27436-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/032f/4701240/02770029aaaf/sensors-15-27436-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/032f/4701240/493e45c8eb3a/sensors-15-27436-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/032f/4701240/cb22b6687422/sensors-15-27436-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/032f/4701240/66e3eeba52e3/sensors-15-27436-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/032f/4701240/6c932f5b1e18/sensors-15-27436-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/032f/4701240/19dc4f342091/sensors-15-27436-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/032f/4701240/ca7ff021a3b5/sensors-15-27436-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/032f/4701240/59f2befbe206/sensors-15-27436-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/032f/4701240/cf330d085e10/sensors-15-27436-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/032f/4701240/74dc326b5861/sensors-15-27436-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/032f/4701240/a1bcc2555aa8/sensors-15-27436-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/032f/4701240/af4ddc48b61a/sensors-15-27436-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/032f/4701240/872b63dbee3c/sensors-15-27436-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/032f/4701240/b12f137c77d4/sensors-15-27436-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/032f/4701240/2e5c2bed6eb7/sensors-15-27436-g018.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/032f/4701240/36e80120d11b/sensors-15-27436-g019.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/032f/4701240/dfce9f7298f5/sensors-15-27436-g020.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/032f/4701240/cdfd658442b5/sensors-15-27436-g021.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/032f/4701240/e422b3caad77/sensors-15-27436-g022.jpg

相似文献

1
SITRUS: Semantic Infrastructure for Wireless Sensor Networks.SITRUS:无线传感器网络的语义基础设施
Sensors (Basel). 2015 Oct 29;15(11):27436-69. doi: 10.3390/s151127436.
2
Performance and Challenges of Service-Oriented Architecture for Wireless Sensor Networks.无线传感器网络面向服务架构的性能与挑战
Sensors (Basel). 2017 Mar 8;17(3):536. doi: 10.3390/s17030536.
3
Dynamic reconfiguration of security policies in wireless sensor networks.无线传感器网络中安全策略的动态重新配置。
Sensors (Basel). 2015 Mar 4;15(3):5251-80. doi: 10.3390/s150305251.
4
Reliability of wireless sensor networks.无线传感器网络的可靠性
Sensors (Basel). 2014 Aug 25;14(9):15760-85. doi: 10.3390/s140915760.
5
Software Defined Networking for Improved Wireless Sensor Network Management: A Survey.用于改进无线传感器网络管理的软件定义网络:一项综述。
Sensors (Basel). 2017 May 4;17(5):1031. doi: 10.3390/s17051031.
6
Development of Energy Efficient Clustering Protocol in Wireless Sensor Network Using Neuro-Fuzzy Approach.基于神经模糊方法的无线传感器网络节能聚类协议的开发
ScientificWorldJournal. 2016;2016:5063261. doi: 10.1155/2016/5063261. Epub 2016 Jan 3.
7
Towards Sustainable Distributed Sensor Networks: An Approach for Addressing Power Limitation Issues in WSNs.迈向可持续分布式传感器网络:解决 WSN 中能量限制问题的方法。
Sensors (Basel). 2023 Jan 14;23(2):975. doi: 10.3390/s23020975.
8
Evaluating the power consumption of wireless sensor network applications using models.使用模型评估无线传感器网络应用的功耗。
Sensors (Basel). 2013 Mar 13;13(3):3473-500. doi: 10.3390/s130303473.
9
Simulation of Attacks for Security in Wireless Sensor Network.无线传感器网络安全攻击模拟
Sensors (Basel). 2016 Nov 18;16(11):1932. doi: 10.3390/s16111932.
10
A survey of middleware for sensor and network virtualization.传感器与网络虚拟化中间件的调查。
Sensors (Basel). 2014 Dec 12;14(12):24046-97. doi: 10.3390/s141224046.

引用本文的文献

1
Performance and Challenges of Service-Oriented Architecture for Wireless Sensor Networks.无线传感器网络面向服务架构的性能与挑战
Sensors (Basel). 2017 Mar 8;17(3):536. doi: 10.3390/s17030536.
2
Semantic Registration and Discovery System of Subsystems and Services within an Interoperable Coordination Platform in Smart Cities.智慧城市中可互操作协调平台内子系统和服务的语义注册与发现系统
Sensors (Basel). 2016 Jun 24;16(7):955. doi: 10.3390/s16070955.

本文引用的文献

1
Evaluating the power consumption of wireless sensor network applications using models.使用模型评估无线传感器网络应用的功耗。
Sensors (Basel). 2013 Mar 13;13(3):3473-500. doi: 10.3390/s130303473.
2
Combining wireless sensor networks and semantic middleware for an Internet of Things-based sportsman/woman monitoring application.将无线传感器网络和语义中间件相结合,用于基于物联网的运动员监测应用。
Sensors (Basel). 2013 Jan 31;13(2):1787-835. doi: 10.3390/s130201787.