Electrical Substation Environment Monitoring System Using Energy Efficient Algorithm for Wireless Sensor Network

Saddique Haroon, Muhammad Aqeel Ijaz, Afeef Obaid
{"title":"Electrical Substation Environment Monitoring System Using Energy Efficient Algorithm for Wireless Sensor Network","authors":"Saddique Haroon, Muhammad Aqeel Ijaz, Afeef Obaid","doi":"10.1109/ICEPECC57281.2023.10209549","DOIUrl":null,"url":null,"abstract":"From the aspect of system protection and disaster prevention, the environment monitoring system in a substation is an essential section. Continuous monitoring of environmental changes such as increase or decrease in temperature, humidity, or detection of any gas leakage is required to protect the substation from any environmental as well as technical hazards. Wireless Sensor Network (WSN) proves to be a cost efficient solution for such environment monitoring systems with the added benefits of small size and installation flexibility. Due to the capacity limitation of the energy source, the lifetime of WSN is one of the major concerns for researchers. The clustering protocol has been proven to prolong the lifetime of WSN by ensuring balanced energy consumption amongst the nodess. This research work presents an Energy-Efficient Sleep Awake Clustering Algorithm (EESACA) with network design of indoor environment monitoring system at 132kV substation barki road DHA-8 Lahore, Pakistan. The proposed algorithm EESACA considers sleep-awake mode among the nodes based upon their remaining node’s energy. Only those nodes are allowed to participate in the setup phase and steady state phase, whose residual energy is greater than the threshold value. The network lifetime of various communication protocols is comparatively analyzed. Simulation results verify the proposed algorithm’s effectiveness for a more extended network lifetime.","PeriodicalId":102289,"journal":{"name":"2023 International Conference on Energy, Power, Environment, Control, and Computing (ICEPECC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on Energy, Power, Environment, Control, and Computing (ICEPECC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEPECC57281.2023.10209549","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

From the aspect of system protection and disaster prevention, the environment monitoring system in a substation is an essential section. Continuous monitoring of environmental changes such as increase or decrease in temperature, humidity, or detection of any gas leakage is required to protect the substation from any environmental as well as technical hazards. Wireless Sensor Network (WSN) proves to be a cost efficient solution for such environment monitoring systems with the added benefits of small size and installation flexibility. Due to the capacity limitation of the energy source, the lifetime of WSN is one of the major concerns for researchers. The clustering protocol has been proven to prolong the lifetime of WSN by ensuring balanced energy consumption amongst the nodess. This research work presents an Energy-Efficient Sleep Awake Clustering Algorithm (EESACA) with network design of indoor environment monitoring system at 132kV substation barki road DHA-8 Lahore, Pakistan. The proposed algorithm EESACA considers sleep-awake mode among the nodes based upon their remaining node’s energy. Only those nodes are allowed to participate in the setup phase and steady state phase, whose residual energy is greater than the threshold value. The network lifetime of various communication protocols is comparatively analyzed. Simulation results verify the proposed algorithm’s effectiveness for a more extended network lifetime.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于无线传感器网络节能算法的变电站环境监测系统
从系统保护和防灾的角度来看,变电站环境监测系统是必不可少的一环。需要持续监测环境变化,如温度、湿度的增加或减少,或检测任何气体泄漏,以保护变电站免受任何环境和技术危害。事实证明,无线传感器网络(WSN)是这种环境监测系统的一种经济高效的解决方案,具有体积小、安装灵活等优点。由于能量的限制,无线传感器网络的寿命一直是研究人员关注的问题之一。聚类协议通过保证节点间能量消耗的平衡,延长了无线传感器网络的生命周期。针对巴基斯坦拉合尔市barki路dha8号132kV变电站室内环境监测系统的网络设计,提出了一种节能睡眠觉醒聚类算法(EESACA)。提出的算法EESACA根据节点剩余能量考虑节点间的睡眠-觉醒模式。只有剩余能量大于阈值的节点才允许参与建立阶段和稳态阶段。对各种通信协议的网络生存期进行了比较分析。仿真结果验证了该算法在更长的网络生存期下的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Generative Adversarial Networks (GANs) Video Framework: A Systematic Literature Review A Novel Decentralized Coordination Control Scheme for the Complex Transactive Energy Prosumers Biometric Electroencephalogram Based Random Number Generator Seasonal Impact on the Storage Capacity Sizing in a Renewable Energy System Under the Condition of Safe Operation Investigation of Optimum Phase Change Material for PV Panels in Malaysian Climatic Conditions
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1