• 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

智能能源场景中的边缘计算、物联网与社会计算

Edge Computing, IoT and Social Computing in Smart Energy Scenarios.

作者信息

Sittón-Candanedo Inés, Alonso Ricardo S, García Óscar, Muñoz Lilia, Rodríguez-González Sara

机构信息

BISITE Research Group, University of Salamanca, Edificio Multiusos I+D+i, Calle Espejo 2, 37007 Salamanca, Spain.

Grupo GITCE, Universidad Tecnológica de Panamá, Panama 0801, Panama.

出版信息

Sensors (Basel). 2019 Jul 31;19(15):3353. doi: 10.3390/s19153353.

DOI:10.3390/s19153353
PMID:31370149
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6695591/
Abstract

The Internet of Things (IoT) has become one of the most widely research paradigms, having received much attention from the research community in the last few years. IoT is the paradigm that creates an internet-connected world, where all the everyday objects capture data from our environment and adapt it to our needs. However, the implementation of IoT is a challenging task and all the implementation scenarios require the use of different technologies and the emergence of new ones, such as Edge Computing (EC). EC allows for more secure and efficient data processing in real time, achieving better performance and results. Energy efficiency is one of the most interesting IoT scenarios. In this scenario sensors, actuators and smart devices interact to generate a large volume of data associated with energy consumption. This work proposes the use of an Edge-IoT platform and a Social Computing framework to build a system aimed to smart energy efficiency in a public building scenario. The system has been evaluated in a public building and the results make evident the notable benefits that come from applying Edge Computing to both energy efficiency scenarios and the framework itself. Those benefits included reduced data transfer from the IoT-Edge to the Cloud and reduced Cloud, computing and network resource costs.

摘要

物联网(IoT)已成为研究最为广泛的范式之一,在过去几年中受到了研究界的广泛关注。物联网是一种创建互联世界的范式,在这个世界中,所有日常物品都能从我们的环境中捕获数据并根据我们的需求进行调整。然而,物联网的实施是一项具有挑战性的任务,所有实施场景都需要使用不同的技术以及新出现的技术,如边缘计算(EC)。边缘计算允许进行更安全、高效的实时数据处理,从而实现更好的性能和结果。能源效率是物联网中最有趣的场景之一。在这种场景下,传感器、执行器和智能设备相互作用,生成大量与能源消耗相关的数据。这项工作提出使用边缘物联网平台和社会计算框架来构建一个旨在实现公共建筑场景中智能能源效率的系统。该系统已在一座公共建筑中进行了评估,结果表明将边缘计算应用于能源效率场景和框架本身带来了显著的好处。这些好处包括减少从物联网边缘到云的数据传输,以及降低云、计算和网络资源成本。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2056/6695591/5b19c1f90636/sensors-19-03353-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2056/6695591/d1b8bb0cb4ad/sensors-19-03353-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2056/6695591/3e3ae434e763/sensors-19-03353-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2056/6695591/b708ab1ad8bf/sensors-19-03353-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2056/6695591/6940b3ef3c90/sensors-19-03353-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2056/6695591/75458fa8328f/sensors-19-03353-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2056/6695591/10f3bf5dd4cc/sensors-19-03353-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2056/6695591/5b19c1f90636/sensors-19-03353-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2056/6695591/d1b8bb0cb4ad/sensors-19-03353-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2056/6695591/3e3ae434e763/sensors-19-03353-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2056/6695591/b708ab1ad8bf/sensors-19-03353-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2056/6695591/6940b3ef3c90/sensors-19-03353-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2056/6695591/75458fa8328f/sensors-19-03353-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2056/6695591/10f3bf5dd4cc/sensors-19-03353-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2056/6695591/5b19c1f90636/sensors-19-03353-g008.jpg

相似文献

1
Edge Computing, IoT and Social Computing in Smart Energy Scenarios.智能能源场景中的边缘计算、物联网与社会计算
Sensors (Basel). 2019 Jul 31;19(15):3353. doi: 10.3390/s19153353.
2
Energy-Efficient Collaborative Task ComputationOffloading in Cloud-Assisted Edge Computingfor IoT Sensors.面向物联网传感器的云辅助边缘计算中的节能协同任务计算卸载。
Sensors (Basel). 2019 Mar 4;19(5):1105. doi: 10.3390/s19051105.
3
IoT-RECSM-Resource-Constrained Smart Service Migration Framework for IoT Edge Computing Environment.物联网边缘计算环境下的资源受限智能服务迁移框架IoT-RECSM-Resource-Constrained Smart Service Migration Framework
Sensors (Basel). 2020 Apr 17;20(8):2294. doi: 10.3390/s20082294.
4
Hyperledger Fabric Blockchain for Securing the Edge Internet of Things.用于保障边缘物联网安全的超级账本织物区块链
Sensors (Basel). 2021 Jan 7;21(2):359. doi: 10.3390/s21020359.
5
Object Tracking for a Smart City Using IoT and Edge Computing.基于物联网和边缘计算的智慧城市目标跟踪
Sensors (Basel). 2019 Apr 28;19(9):1987. doi: 10.3390/s19091987.
6
Design and Experimental Validation of a LoRaWAN Fog Computing Based Architecture for IoT Enabled Smart Campus Applications.用于支持物联网的智能校园应用的基于LoRaWAN雾计算架构的设计与实验验证。
Sensors (Basel). 2019 Jul 26;19(15):3287. doi: 10.3390/s19153287.
7
A Practical Evaluation of a High-Security Energy-Efficient Gateway for IoT Fog Computing Applications.用于物联网雾计算应用的高安全性节能网关的实际评估
Sensors (Basel). 2017 Aug 29;17(9):1978. doi: 10.3390/s17091978.
8
A Smart Home Energy Management System Using Two-Stage Non-Intrusive Appliance Load Monitoring over Fog-Cloud Analytics Based on Tridium's Niagara Framework for Residential Demand-Side Management.基于 Tridium 的 Niagara 框架的用于住宅需求侧管理的雾-云分析的两级非侵入式家电负载监测的智能家居能源管理系统。
Sensors (Basel). 2021 Apr 20;21(8):2883. doi: 10.3390/s21082883.
9
Integrating meta-heuristic with named data networking for secure edge computing in IoT enabled healthcare monitoring system.将元启发式与命名数据网络集成到物联网支持的医疗保健监测系统中的安全边缘计算中。
Sci Rep. 2024 Sep 15;14(1):21532. doi: 10.1038/s41598-024-71506-z.
10
A Practical Evaluation on RSA and ECC-Based Cipher Suites for IoT High-Security Energy-Efficient Fog and Mist Computing Devices.基于 RSA 和 ECC 的密码套件在物联网高安全性节能雾和霾计算设备中的实用评估。
Sensors (Basel). 2018 Nov 10;18(11):3868. doi: 10.3390/s18113868.

引用本文的文献

1
Compact SPICE Model of Memristor with Barrier Modulated Considering Short- and Long-Term Memory Characteristics by IGZO Oxygen Content.基于IGZO氧含量考虑短期和长期记忆特性的势垒调制忆阻器紧凑SPICE模型
Micromachines (Basel). 2022 Sep 28;13(10):1630. doi: 10.3390/mi13101630.
2
Deep Q-Learning and Preference Based Multi-Agent System for Sustainable Agricultural Market.深度 Q 学习与基于偏好的多智能体系统在可持续农业市场中的应用
Sensors (Basel). 2021 Aug 4;21(16):5276. doi: 10.3390/s21165276.
3
Deepint.net: A Rapid Deployment Platform for Smart Territories.

本文引用的文献

1
A Self Regulating and Crowdsourced Indoor Positioning System through Wi-Fi Fingerprinting for Multi Storey Building.基于 Wi-Fi 指纹的自调节众包室内定位系统在多层建筑中的应用。
Sensors (Basel). 2018 Nov 4;18(11):3766. doi: 10.3390/s18113766.
2
Providing Personalized Energy Management and Awareness Services for Energy Efficiency in Smart Buildings.为智能建筑的能源效率提供个性化能源管理与意识服务。
Sensors (Basel). 2017 Sep 7;17(9):2054. doi: 10.3390/s17092054.
3
A Framework to Improve Energy Efficient Behaviour at Home through Activity and Context Monitoring.
深网:智能区域的快速部署平台。
Sensors (Basel). 2021 Jan 1;21(1):236. doi: 10.3390/s21010236.
4
Ubiquitous Computing and Ambient Intelligence-UCAmI.无处不在的计算和环境智能-UCAMI。
Sensors (Basel). 2019 Sep 19;19(18):4034. doi: 10.3390/s19184034.
通过活动和情境监测改善家庭能源高效行为的框架
Sensors (Basel). 2017 Jul 31;17(8):1749. doi: 10.3390/s17081749.
4
Energy Efficiency in Public Buildings through Context-Aware Social Computing.通过情境感知社交计算提高公共建筑的能源效率。
Sensors (Basel). 2017 Apr 11;17(4):826. doi: 10.3390/s17040826.