Smart Wireless Attendance System

Authors

  • Shivanand C Kohalli Electronics and Communication, BVB College of Engineering and Technology, Hubli, India
  • Kulkarni R Electronics and Communication, BVB College of Engineering and Technology, Hubli, India
  • Salimath M Electronics and Communication, BVB College of Engineering and Technology, Hubli, India
  • Hegde M Electronics and Communication, BVB College of Engineering and Technology, Hubli, India
  • Hongal R Electronics and Communication, BVB College of Engineering and Technology, Hubli, India

Keywords:

Biometric attendance, Mobile attendance monitoring, Internet of Things

Abstract

This paper describes a method for attendance monitoring through a wireless network of smart devices (IoT). Today, IoT is enabled by the latest developments in RFID, smart sensors, communication technologies, and Internet protocols. IoT is expected to bridge diverse technologies to enable new applications by connecting physical objects together in support of intelligent decision making. The basic premise here is to have smart sensors collaborate directly without human involvement to deliver a new class of application. Compared with the existing technology where local sensors are deployed to monitor attendance OR where often the technology is barely used requiring human intervention, our intention here is to provide a hassle free system which is mobile and requires no human intervention (except for the unavoidable initial set-up). Not only our solution eradicates the burden on human resource but also, provides a convenient way to interact by hosting a web-page for viewing the attendance report of every student.

References

Y. F. Solahuddin, W. Ismail “Data fusion for reducing power consumption in Arduino-Xbee wireless sensor network platform” IEEE Computer and Information Sciences (ICCOINS), 2014 International Conference on

Maltoni Davide, Maio Dario, K. Jain Anil and Salil Prabhakar, "Handbook of Fingerprint Recognition" in , 2009, Springer.

A. K. Jain, F. Patrick and A. Arun, "Handbook of Biometri cs" in , pp. 1-42, 2008, Springer, science Business Media, LLC.

J. Sun and X. Zhang, "Study of zig8ee wireless mesh networks", 2009 Ninth International Conference on Hybrid Intelligent Information Systems and Systems vo1.02, 2009.

James A. Storer, Data Compression Methods and Theory, vol. 413, 1988, Computer Science Press, ISBN -10: 0716781565.

I Made Agus, Dwi Suarjaya,” A New Algorithm for Data Compression Optimization”(IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 3, No.8, 2012

Obulapu Hiteshreddy, Pardeep Singh and Siddharth Chahuan, "A Review on Cluster Based Data Aggregation Protocols in Wireless Sensor Network", International Journal of Computer Sciences and Engineering, Volume-03, Issue-08, Page No (37-45), Aug -2015.

Umesh Kumar Singh, Shivlal Mewada, Lokesh Laddhani and Kamal Bunkar, “An Overview & Study of Security Issues in Mobile Ado Networks”, International Journal of Computer Science and Information Security (IJCSIS) USA, Vol-9, No.4, pp (106-111), April 2011.ISSN: 1947-5500.

Shamneesh Sharma, Dinesh Kumar and Keshav Kishore, "Wireless Sensor Networks- A Review on Topologies and Node Architecture", International Journal of Computer Sciences and Engineering, Volume-01, Issue-02, Page No (19-25), Oct -2013

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Published

2025-11-11

How to Cite

[1]
K. Shivanand C, R. Kulkarni, M. Salimath, M. Hegde, and R. Hongal, “Smart Wireless Attendance System”, Int. J. Comp. Sci. Eng., vol. 4, no. 9, pp. 131–137, Nov. 2025.

Issue

Section

Research Article