• 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

评估更适合基于物联网的智能电网的ISM频段:915兆赫兹与2400兆赫兹的定量研究

Evaluating the More Suitable ISM Frequency Band for IoT-Based Smart Grids: A Quantitative Study of 915 MHz vs. 2400 MHz.

作者信息

Sandoval Ruben M, Garcia-Sanchez Antonio-Javier, Garcia-Sanchez Felipe, Garcia-Haro Joan

机构信息

Department of Information and Communication Technologies, Universidad Politécnica de Cartagena (UPCT), Campus Muralla del Mar, E-30202 Cartagena, Spain.

出版信息

Sensors (Basel). 2016 Dec 31;17(1):76. doi: 10.3390/s17010076.

DOI:10.3390/s17010076
PMID:28042863
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5298649/
Abstract

IoT has begun to be employed pervasively in industrial environments and critical infrastructures thanks to its positive impact on performance and efficiency. Among these environments, the Smart Grid (SG) excels as the perfect host for this technology, mainly due to its potential to become the motor of the rest of electrically-dependent infrastructures. To make this SG-oriented IoT cost-effective, most deployments employ unlicensed ISM bands, specifically the 2400 MHz one, due to its extended communication bandwidth in comparison with lower bands. This band has been extensively used for years by Wireless Sensor Networks (WSN) and Mobile Ad-hoc Networks (MANET), from which the IoT technologically inherits. However, this work questions and evaluates the suitability of such a "default" communication band in SG environments, compared with the 915 MHz ISM band. A comprehensive quantitative comparison of these bands has been accomplished in terms of: power consumption, average network delay, and packet reception rate. To allow such a study, a dual-band propagation model specifically designed for the SG has been derived, tested, and incorporated into the well-known TOSSIM simulator. Simulation results reveal that only in the absence of other 2400 MHz interfering devices (such as WiFi or Bluetooth) or in small networks, is the 2400 MHz band the best option. In any other case, SG-oriented IoT quantitatively perform better if operating in the 915 MHz band.

摘要

由于物联网(IoT)对性能和效率有积极影响,它已开始在工业环境和关键基础设施中得到广泛应用。在这些环境中,智能电网(SG)作为这项技术的理想载体表现出色,这主要归功于其有潜力成为其他依赖电力的基础设施的驱动力。为了使这种面向智能电网的物联网具有成本效益,大多数部署采用免授权的工业、科学和医疗(ISM)频段,特别是2400兆赫兹频段,因为与较低频段相比,它具有更宽的通信带宽。多年来,这个频段已被无线传感器网络(WSN)和移动自组织网络(MANET)广泛使用,物联网在技术上继承了它们。然而,与915兆赫兹ISM频段相比,本文对这种“默认”通信频段在智能电网环境中的适用性提出质疑并进行评估。已从功耗、平均网络延迟和数据包接收率方面对这些频段进行了全面的定量比较。为了进行这样的研究,专门为智能电网设计的双频段传播模型已被推导、测试并纳入著名的TOSSIM模拟器。仿真结果表明,只有在没有其他2400兆赫兹干扰设备(如WiFi或蓝牙)的情况下或在小型网络中,2400兆赫兹频段才是最佳选择。在任何其他情况下,面向智能电网的物联网在915兆赫兹频段运行时在定量性能上表现更好。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caf2/5298649/f9491f963c8c/sensors-17-00076-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caf2/5298649/557fac4ee782/sensors-17-00076-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caf2/5298649/c04e9521fbfc/sensors-17-00076-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caf2/5298649/e83e03512f31/sensors-17-00076-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caf2/5298649/c94c768cf612/sensors-17-00076-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caf2/5298649/ee4e34796335/sensors-17-00076-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caf2/5298649/f9491f963c8c/sensors-17-00076-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caf2/5298649/557fac4ee782/sensors-17-00076-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caf2/5298649/c04e9521fbfc/sensors-17-00076-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caf2/5298649/e83e03512f31/sensors-17-00076-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caf2/5298649/c94c768cf612/sensors-17-00076-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caf2/5298649/ee4e34796335/sensors-17-00076-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caf2/5298649/f9491f963c8c/sensors-17-00076-g006.jpg

相似文献

1
Evaluating the More Suitable ISM Frequency Band for IoT-Based Smart Grids: A Quantitative Study of 915 MHz vs. 2400 MHz.评估更适合基于物联网的智能电网的ISM频段:915兆赫兹与2400兆赫兹的定量研究
Sensors (Basel). 2016 Dec 31;17(1):76. doi: 10.3390/s17010076.
2
Potential of Sub-GHz Wireless for Future IoT Wearables and Design of Compact 915 MHz Antenna.未来物联网可穿戴设备的亚千兆赫兹无线技术潜力及紧凑型915兆赫兹天线设计
Sensors (Basel). 2017 Dec 22;18(1):22. doi: 10.3390/s18010022.
3
Design, Implementation, and Empirical Validation of an IoT Smart Irrigation System for Fog Computing Applications Based on LoRa and LoRaWAN Sensor Nodes.基于LoRa和LoRaWAN传感器节点的用于雾计算应用的物联网智能灌溉系统的设计、实现与实证验证
Sensors (Basel). 2020 Nov 30;20(23):6865. doi: 10.3390/s20236865.
4
A Smart and Balanced Energy-Efficient Multihop Clustering Algorithm (Smart-BEEM) for MIMO IoT Systems in Future Networks.未来网络中用于MIMO物联网系统的智能平衡节能多跳聚类算法(Smart-BEEM)
Sensors (Basel). 2017 Jul 5;17(7):1574. doi: 10.3390/s17071574.
5
Design, Implementation and Practical Evaluation of an IoT Home Automation System for Fog Computing Applications Based on MQTT and ZigBee-WiFi Sensor Nodes.基于 MQTT 和 ZigBee-WiFi 传感器节点的物联网智能家居自动化系统的设计、实现与实用评估。
Sensors (Basel). 2018 Aug 13;18(8):2660. doi: 10.3390/s18082660.
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
Performance Analysis of Distributed Estimation for Data Fusion Using a Statistical Approach in Smart Grid Noisy Wireless Sensor Networks.使用统计方法在智能电网噪声无线传感器网络中进行数据融合的分布式估计性能分析。
Sensors (Basel). 2020 Jan 20;20(2):567. doi: 10.3390/s20020567.
8
A Novel Scheme for an Energy Efficient Internet of Things Based on Wireless Sensor Networks.一种基于无线传感器网络的节能物联网新方案。
Sensors (Basel). 2015 Nov 12;15(11):28603-27. doi: 10.3390/s151128603.
9
A comprehensive WSN-based approach to efficiently manage a Smart Grid.一种基于无线传感器网络的综合方法,用于高效管理智能电网。
Sensors (Basel). 2014 Oct 10;14(10):18748-83. doi: 10.3390/s141018748.
10
A Wristwatch-Based Wireless Sensor Platform for IoT Health Monitoring Applications.基于智能手表的物联网健康监测应用无线传感器平台。
Sensors (Basel). 2020 Mar 17;20(6):1675. doi: 10.3390/s20061675.

引用本文的文献

1
Miniaturized Antenna Design for Wireless and Powerless Surface Acoustic Wave Temperature Sensors.用于无线无源表面声波温度传感器的小型化天线设计
Sensors (Basel). 2024 Aug 24;24(17):5490. doi: 10.3390/s24175490.
2
A Comprehensive Review on Smart Grids: Challenges and Opportunities.智能电网综述:挑战与机遇
Sensors (Basel). 2021 Oct 21;21(21):6978. doi: 10.3390/s21216978.
3
Assessing the Feasibility of a Commercially Available Wireless Internet of Things System to Improve Conveyor Safety.评估一款商用物联网系统改善输送机安全性的可行性。

本文引用的文献

1
Implementation and Analysis of ISM 2.4 GHz Wireless Sensor Network Systems in Judo Training Venues.柔道训练场馆中2.4GHz ISM无线传感器网络系统的实现与分析
Sensors (Basel). 2016 Aug 6;16(8):1247. doi: 10.3390/s16081247.
2
SACRB-MAC: A High-Capacity MAC Protocol for Cognitive Radio Sensor Networks in Smart Grid.SACRB-MAC:一种用于智能电网中认知无线电传感器网络的高容量介质访问控制协议。
Sensors (Basel). 2016 Mar 31;16(4):464. doi: 10.3390/s16040464.
3
A comprehensive WSN-based approach to efficiently manage a Smart Grid.一种基于无线传感器网络的综合方法,用于高效管理智能电网。
Min Metall Explor. 2020 Jun 6;38:567-574. doi: 10.1007/s42461-020-00325-3.
4
The Development and Field Evaluation of an IoT System of Low-Power Vibration for Bridge Health Monitoring.物联网系统在桥梁健康监测中的低功耗振动开发与现场评估。
Sensors (Basel). 2019 Mar 11;19(5):1222. doi: 10.3390/s19051222.
Sensors (Basel). 2014 Oct 10;14(10):18748-83. doi: 10.3390/s141018748.
4
Energy-efficient ZigBee-based wireless sensor network for track bicycle performance monitoring.用于跟踪自行车性能监测的基于ZigBee的节能无线传感器网络。
Sensors (Basel). 2014 Aug 22;14(8):15573-92. doi: 10.3390/s140815573.