Cross Layer Optimized ZigBee-based Data Collection and Monitoring of Grid Systems
基于 ZigBee 的跨层优化网格系统数据收集和监控
基本信息
- 批准号:514126-2017
- 负责人:
- 金额:$ 1.82万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Engage Grants Program
- 财政年份:2017
- 资助国家:加拿大
- 起止时间:2017-01-01 至 2018-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Incorporating information and communication technologies into grid systems provides advanced capabilitiesfor remote, and real-time monitoring and control of devices. In smart grid systems, wireless relays are used inthe data collection for fault detection and power quality analysis. When wireless base stations are closer to highvoltage transmission lines, the signals from the base stations impact the monitoring of the lines as impulsivenoise. With the growing number of cellular base stations mainly in urban areas, this impulsive noise becomes aproblem causing the loss of data integrity when wirelessly transmitted. In this project, we will study thisproblem to quantify the loss of data and to determine the number of additional relays required to maintain thesame data quality in this noisy environment. This will help optimize the relay system operations (number ofrelays and locations) when excessive noise is detected in power lines.In particular, a hybrid network architecture comprised of wireless sensor networks and cellular network will beconsidered to monitor the high voltage transmission lines in the urban and suburban areas. Corona noise is oneof the sources of electromagnetic interference in such lines. We will first characterize the wireless channel withimpulsive Corona noise near cellular base stations; then formulate and solve the problem of finding theoptimum number of relays/sensors in a Zigbee-based linear and non-linear wireless sensor networks. Goal is todevelop a matrix with the expected number of additional relays and their locations needed to maintain the samedata quality for various intensity of noise level. The effects of physical and MAC layer parameters on themonitoring performance will also be quantified and included in the matrix to be used as operational guidelinesin the relay system.
将信息和通信技术纳入网格系统中,为远程和实时监视和控制设备提供了高级功能。在智能网格系统中,无线继电器用于数据收集中,以进行故障检测和功率质量分析。当无线基站更接近高压传输线时,基地的信号会影响线路的监视为脉冲。随着蜂窝基站的数量越来越多,主要是在城市地区,这种冲动的噪声变成了无线传输时数据完整性丧失的问题。在这个项目中,我们将研究本问题,以量化数据丢失,并确定在这个嘈杂的环境中维持这些数据质量所需的其他继电器数量。当在电源线中检测到过多的噪声时,这将有助于优化继电器系统操作(数量和位置的数量)。尤其是,由无线传感器网络组成的混合网络体系结构和蜂窝网络将受到监视以监视城市和郊区区域中高压传输线。电晕噪声是此类电磁干扰来源的一种。我们将首先对无线通道进行表征,并在蜂窝基站附近带有电动的电晕噪声。然后制定并解决在基于Zigbee的线性和非线性无线传感器网络中查找接力/传感器数量的问题。目标是矩阵的矩阵,其预期的其他继电器数量及其位置,以维持各种噪声水平的Samedata质量。物理和MAC层参数对InterInitoring性能的影响也将被量化并包含在矩阵中,以用作继电器系统的操作指南。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Anpalagan, Alagan其他文献
A Hierarchical Learning Solution for Anti-Jamming Stackelberg Game With Discrete Power Strategies
具有离散功率策略的抗干扰 Stackelberg 游戏的分层学习解决方案
- DOI:
10.1109/lwc.2017.2747543 - 发表时间:
2017-12-01 - 期刊:
- 影响因子:6.3
- 作者:
Jia, Luliang;Yao, Fuqiang;Anpalagan, Alagan - 通讯作者:
Anpalagan, Alagan
Joint Multi-User Computation Offloading and Data Caching for Hybrid Mobile Cloud/Edge Computing
混合移动云/边缘计算的联合多用户计算卸载和数据缓存
- DOI:
10.1109/tvt.2019.2942334 - 发表时间:
2019-11-01 - 期刊:
- 影响因子:6.8
- 作者:
Yang, Xiaolong;Fei, Zesong;Anpalagan, Alagan - 通讯作者:
Anpalagan, Alagan
Deep learning for object detection and scene perception in self-driving cars: Survey, challenges, and open issues
- DOI:
10.1016/j.array.2021.100057 - 发表时间:
2021-07-01 - 期刊:
- 影响因子:0
- 作者:
Gupta, Abhishek;Anpalagan, Alagan;Khwaja, Ahmed Shaharyar - 通讯作者:
Khwaja, Ahmed Shaharyar
Joint Communication and Computing Resource Allocation in 5G Cloud Radio Access Networks
- DOI:
10.1109/tvt.2019.2927904 - 发表时间:
2019-09-01 - 期刊:
- 影响因子:6.8
- 作者:
Ferdouse, Lilatul;Anpalagan, Alagan;Erkucuk, Serhat - 通讯作者:
Erkucuk, Serhat
Resource Management in Multicloud IoT Radio Access Network
- DOI:
10.1109/jiot.2018.2878511 - 发表时间:
2019-04-01 - 期刊:
- 影响因子:10.6
- 作者:
Awais, Muhammad;Ahmed, Ashfaq;Anpalagan, Alagan - 通讯作者:
Anpalagan, Alagan
Anpalagan, Alagan的其他文献
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{{ truncateString('Anpalagan, Alagan', 18)}}的其他基金
Reconfigurable Intelligent Surface (RIS) Empowered Future Wireless Networks
可重构智能表面 (RIS) 赋能未来无线网络
- 批准号:
RGPIN-2022-03820 - 财政年份:2022
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Radio Resource Management in Next Generation Wireless Systems: Design, Analysis and Optimization
下一代无线系统中的无线电资源管理:设计、分析和优化
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RGPIN-2016-04049 - 财政年份:2021
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$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Radio Resource Management in Next Generation Wireless Systems: Design, Analysis and Optimization
下一代无线系统中的无线电资源管理:设计、分析和优化
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RGPIN-2016-04049 - 财政年份:2020
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$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Optimized Resource Allocation in Coded Multicarrier Systems
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543743-2019 - 财政年份:2019
- 资助金额:
$ 1.82万 - 项目类别:
Engage Grants Program
Radio Resource Management in Next Generation Wireless Systems: Design, Analysis and Optimization
下一代无线系统中的无线电资源管理:设计、分析和优化
- 批准号:
RGPIN-2016-04049 - 财政年份:2019
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Radio Resource Management in Next Generation Wireless Systems: Design, Analysis and Optimization
下一代无线系统中的无线电资源管理:设计、分析和优化
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RGPIN-2016-04049 - 财政年份:2018
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Radio Resource Management in Next Generation Wireless Systems: Design, Analysis and Optimization
下一代无线系统中的无线电资源管理:设计、分析和优化
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RGPIN-2016-04049 - 财政年份:2017
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Radio Resource Management in Next Generation Wireless Systems: Design, Analysis and Optimization
下一代无线系统中的无线电资源管理:设计、分析和优化
- 批准号:
RGPIN-2016-04049 - 财政年份:2016
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$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Development of Integrated Framework for Multimedia Communications
多媒体通信综合框架的开发
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507163-2016 - 财政年份:2016
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认知无线电资源管理
- 批准号:
250081-2011 - 财政年份:2015
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
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