A quantitative case study in WSNs: Design and implementation of student smart ID card

Khan, Nawal Kaleem and Alnatsheh, Essam and Rasheed, Rasheed Abubakar and Yadav, Amita and Alansari, Zainab (2020) A quantitative case study in WSNs: Design and implementation of student smart ID card. In: 3rd International Conference on Computing, Electronics and Communications Engineering (iCCECE), 17-18 August 2020, Online.

Full text not available from this repository.
Official URL: https://ieeexplore.ieee.org/document/9231173

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.

Item Type: Conference or Workshop Item (Paper)
Funders: AMA International University, CTRG Research Group of the College of Computer Studies
Additional Information: 3rd International Conference on Computing, Electronics and Communications Engineering (iCCECE), online, Aug 17-18, 2020
Uncontrolled Keywords: Wireless sensor networks; Smart ID card; Internet of things; Artificial intelligence
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Computer Science & Information Technology
Depositing User: Ms Zaharah Ramly
Date Deposited: 01 Jun 2023 07:38
Last Modified: 01 Jun 2023 07:38
URI: http://eprints.um.edu.my/id/eprint/37062

Actions (login required)

View Item View Item