A Quantitative Case Study in WSNs: Design and Implementation of Student Smart ID Card

Nawal Kaleem Khan, Essam F. Alnatsheh, Rasheed Abubakar Rasheed, Amita Yadav, Z. Alansari
{"title":"A Quantitative Case Study in WSNs: Design and Implementation of Student Smart ID Card","authors":"Nawal Kaleem Khan, Essam F. Alnatsheh, Rasheed Abubakar Rasheed, Amita Yadav, Z. Alansari","doi":"10.1109/iCCECE49321.2020.9231173","DOIUrl":null,"url":null,"abstract":"Wireless Sensor Networks (WSNs) is a collection of small nodes which are used to sense physical environmental conditions like temperature, pressure, sound, motion. Sensor nodes are deployed to carry out various applications such as disaster recovery, industrial control, health monitoring, environmental monitoring. However, least work has been done in the school environment application. Therefore, in this research work, a smart system has been developed that replace the traditional methods of administrating the University with more sustainable and eco- friendly solutions. WSN is used to record the student's attendance and to track their entry and exit in the classroom. WSN incorporated with the student id card and to check the appropriateness an online survey system has been conducted in AMA University. Incorporation of WSN with Student id card will be benefitted to record student attendance, in the certificate of registration, to avoid examination clashes, replaces exam permit, student health care and eliminating library sign in and out.","PeriodicalId":413847,"journal":{"name":"2020 International Conference on Computing, Electronics & Communications Engineering (iCCECE)","volume":"42 5","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Computing, Electronics & Communications Engineering (iCCECE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/iCCECE49321.2020.9231173","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

Wireless Sensor Networks (WSNs) is a collection of small nodes which are used to sense physical environmental conditions like temperature, pressure, sound, motion. Sensor nodes are deployed to carry out various applications such as disaster recovery, industrial control, health monitoring, environmental monitoring. However, least work has been done in the school environment application. Therefore, in this research work, a smart system has been developed that replace the traditional methods of administrating the University with more sustainable and eco- friendly solutions. WSN is used to record the student's attendance and to track their entry and exit in the classroom. WSN incorporated with the student id card and to check the appropriateness an online survey system has been conducted in AMA University. Incorporation of WSN with Student id card will be benefitted to record student attendance, in the certificate of registration, to avoid examination clashes, replaces exam permit, student health care and eliminating library sign in and out.
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的学生智能身份证的设计与实现
无线传感器网络(wsn)是一个小节点的集合,用于感知物理环境条件,如温度,压力,声音,运动。部署传感器节点进行各种应用,如灾难恢复,工业控制,健康监测,环境监测。然而,在学校环境应用方面做的工作却很少。因此,在这项研究工作中,我们开发了一个智能系统,以更可持续和环保的解决方案取代传统的大学管理方法。无线传感器网络用于记录学生的出勤情况,并跟踪他们在教室中的进出情况。为检查无线传感器网络与学生证的适当性,AMA大学进行了一项在线调查系统。WSN与学生证的结合将有利于记录学生出勤,在注册证中,避免考试冲突,取代考试许可证,学生保健和消除图书馆签到和离开。
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
Key-Value Store using High Level Synthesis Flow for Securities Trading System Design and Analysis of Fractional-Order PID Controller and its variants for Nonlinear Process using Kalman Filter A CMOS Current Starved VCO for Energy Harvesting applications Iris Recognition Performance Analysis for Noncooperative Conditions Effect of Preprocessing on Performance of Neural Networks for Microscopy Image Classification
×
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