• 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

用于改善无线网络中时间同步的同态滤波

Homomorphic Filtering for Improving Time Synchronization in Wireless Networks.

作者信息

Castillo-Secilla José María, Palomares José Manuel, León Fernando, Olivares Joaquín

机构信息

Department of Computer Technology, University of Alicante, Carretera San Vicente del Raspeig, S/N, 03690 Alicante, Spain.

Department of Computer Architecture, Electronics and Electronic Technology, Universidad de Córdoba, Campus de Rabanales, 14001 Córdoba, Spain.

出版信息

Sensors (Basel). 2017 Apr 20;17(4):909. doi: 10.3390/s17040909.

DOI:10.3390/s17040909
PMID:28425955
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5426833/
Abstract

Wireless sensor networks are used to sample the environment in a distributed way. Therefore, it is mandatory for all of the measurements to be tightly synchronized in order to guarantee that every sensor is sampling the environment at the exact same instant of time. The synchronization drift gets bigger in environments suffering from temperature variations. Thus, this work is focused on improving time synchronization under deployments with temperature variations. The working hypothesis demonstrated in this work is that the clock skew of two nodes (the ratio of the real frequencies of the oscillators) is composed of a multiplicative combination of two main components: the clock skew due to the variations between the cut of the crystal of each oscillator and the clock skew due to the different temperatures affecting the nodes. By applying a nonlinear filtering, the homomorphic filtering, both components are separated in an effective way. A correction factor based on temperature, which can be applied to any synchronization protocol, is proposed. For testing it, an improvement of the FTSP synchronization protocol has been developed and physically tested under temperature variation scenarios using TelosB motes flashed with the IEEE 802.15.4 implementation supplied by TinyOS.

摘要

无线传感器网络用于以分布式方式对环境进行采样。因此,为了确保每个传感器在完全相同的时刻对环境进行采样,所有测量必须进行紧密同步。在温度变化的环境中,同步漂移会变得更大。因此,这项工作专注于在存在温度变化的部署环境下改进时间同步。这项工作中所展示的工作假设是,两个节点的时钟偏差(振荡器实际频率的比率)由两个主要成分的乘法组合构成:由于每个振荡器晶体切割差异导致的时钟偏差以及由于影响节点的不同温度导致的时钟偏差。通过应用非线性滤波,即同态滤波,这两个成分能够以有效的方式分离。提出了一种基于温度的校正因子,该因子可应用于任何同步协议。为了对其进行测试,已开发出FTSP同步协议的改进版本,并在温度变化场景下使用搭载了由TinyOS提供的IEEE 802.15.4实现的TelosB节点进行了物理测试。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27c3/5426833/8c9d96a61229/sensors-17-00909-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27c3/5426833/361c23f05130/sensors-17-00909-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27c3/5426833/e6c4292ef241/sensors-17-00909-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27c3/5426833/29a25bbc1afd/sensors-17-00909-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27c3/5426833/a3a32668cf32/sensors-17-00909-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27c3/5426833/474c1cc6fba9/sensors-17-00909-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27c3/5426833/b17fb98ea389/sensors-17-00909-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27c3/5426833/17fe08f82233/sensors-17-00909-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27c3/5426833/73840f8da24a/sensors-17-00909-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27c3/5426833/6f4514610dfc/sensors-17-00909-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27c3/5426833/8c9d96a61229/sensors-17-00909-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27c3/5426833/361c23f05130/sensors-17-00909-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27c3/5426833/e6c4292ef241/sensors-17-00909-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27c3/5426833/29a25bbc1afd/sensors-17-00909-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27c3/5426833/a3a32668cf32/sensors-17-00909-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27c3/5426833/474c1cc6fba9/sensors-17-00909-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27c3/5426833/b17fb98ea389/sensors-17-00909-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27c3/5426833/17fe08f82233/sensors-17-00909-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27c3/5426833/73840f8da24a/sensors-17-00909-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27c3/5426833/6f4514610dfc/sensors-17-00909-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27c3/5426833/8c9d96a61229/sensors-17-00909-g010.jpg

相似文献

1
Homomorphic Filtering for Improving Time Synchronization in Wireless Networks.用于改善无线网络中时间同步的同态滤波
Sensors (Basel). 2017 Apr 20;17(4):909. doi: 10.3390/s17040909.
2
Temperature-compensated clock skew adjustment.温度补偿的时钟偏差调整。
Sensors (Basel). 2013 Aug 20;13(8):10981-1006. doi: 10.3390/s130810981.
3
A proportional integral estimator-based clock synchronization protocol for wireless sensor networks.一种基于比例积分估计器的无线传感器网络时钟同步协议。
ISA Trans. 2017 Nov;71(Pt 1):148-160. doi: 10.1016/j.isatra.2017.03.025. Epub 2017 Apr 12.
4
Node-Identification-Based Secure Time Synchronization in Industrial Wireless Sensor Networks.基于节点标识的工业无线传感器网络安全时间同步。
Sensors (Basel). 2018 Aug 18;18(8):2718. doi: 10.3390/s18082718.
5
Enhancing Time Synchronization Support in Wireless Sensor Networks.增强无线传感器网络中的时间同步支持
Sensors (Basel). 2017 Dec 20;17(12):2956. doi: 10.3390/s17122956.
6
Performance Analysis of Time Synchronization Protocols in Wireless Sensor Networks.无线传感器网络中时间同步协议的性能分析
Sensors (Basel). 2019 Jul 9;19(13):3020. doi: 10.3390/s19133020.
7
Access Control Model Based on Time Synchronization Trust in Wireless Sensor Networks.基于时间同步信任的无线传感器网络访问控制模型。
Sensors (Basel). 2018 Jun 30;18(7):2107. doi: 10.3390/s18072107.
8
Clock synchronization in wireless sensor networks: an overview.无线传感器网络中的时钟同步:概述。
Sensors (Basel). 2009;9(1):56-85. doi: 10.3390/s90100056. Epub 2009 Jan 6.
9
Energy-Efficient Time Synchronization Based on Nonlinear Clock Skew Tracking for Underwater Acoustic Networks.基于非线性时钟偏移跟踪的水下声学网络节能时间同步
Sensors (Basel). 2021 Jul 23;21(15):5018. doi: 10.3390/s21155018.
10
Pair Nodes Clock Synchronization Algorithm Based on Kalman Filter for Underwater Wireless Sensor Networks.基于卡尔曼滤波的水下无线传感器网络节点对时钟同步算法
Sensors (Basel). 2021 Jun 28;21(13):4426. doi: 10.3390/s21134426.

引用本文的文献

1
ARS: Adaptive Robust Synchronization for Underground Coal Wireless Internet of Things.ARS:地下煤矿物联网的自适应鲁棒同步
Sensors (Basel). 2020 Sep 2;20(17):4981. doi: 10.3390/s20174981.
2
GTSO: Global Trace Synchronization and Ordering Mechanism for Wireless Sensor Network Monitoring Platforms.GTSO:无线传感器网络监测平台的全局跟踪同步与排序机制
Sensors (Basel). 2017 Dec 23;18(1):28. doi: 10.3390/s18010028.

本文引用的文献

1
Branch-based centralized data collection for smart grids using wireless sensor networks.使用无线传感器网络的智能电网基于分支的集中式数据收集
Sensors (Basel). 2015 May 21;15(5):11854-72. doi: 10.3390/s150511854.
2
A survey on sensor coverage and visual data capturing/processing/transmission in wireless visual sensor networks.无线视觉传感器网络中的传感器覆盖范围和视觉数据采集/处理/传输调查。
Sensors (Basel). 2014 Feb 20;14(2):3506-27. doi: 10.3390/s140203506.
3
Cognitive radio wireless sensor networks: applications, challenges and research trends.
认知无线电无线传感器网络:应用、挑战和研究趋势。
Sensors (Basel). 2013 Aug 22;13(9):11196-228. doi: 10.3390/s130911196.
4
Temperature-compensated clock skew adjustment.温度补偿的时钟偏差调整。
Sensors (Basel). 2013 Aug 20;13(8):10981-1006. doi: 10.3390/s130810981.
5
An overview on wireless sensor networks technology and evolution.无线传感器网络技术概述及其发展。
Sensors (Basel). 2009;9(9):6869-96. doi: 10.3390/s90906869. Epub 2009 Aug 31.
6
Operating systems for wireless sensor networks: a survey.无线传感器网络操作系统:综述。
Sensors (Basel). 2011;11(6):5900-30. doi: 10.3390/s110605900. Epub 2011 May 31.