An IoT and Web-Based System for Efficient Waste Collection and Monitoring

Authors

  • Ellison Lim Jian Hung Universiti Tun Hussein Onn Malaysia Author
  • Nayef Abdulwahab Mohammed Alduais Universiti Tun Hussein Onn Malaysia Author

Keywords:

Smart Waste Management, IoT (Internet of Things), Web-Based System, Efficient Waste Collection, Optimize Waste Collection, Monitoring, Waste Collection Vehicles

Abstract

Traditional waste management systems are plagued by inefficiencies, high costs, and significant environmental impact. To tackle these challenges, this project proposes an IoT and web-based system for more effective waste collection and monitoring system. Utilizing Arduino IDE, C++, Python, ThingSpeak, Android Studio, PHP, MySQL, and cloud storage, the system integrates IoT sensors into waste bins for real-time data transmission and analysis, featuring modules for monitoring, reporting, visualization, notifications, user registration, staff management, and trash vehicle coordination. The parallel development methodology enabled smooth project progress and significant improvements in efficiency, coordination, and management. The system was tested with a test plan and User Acceptance Test (UAT), proving to be successfully developed and meeting user requirements. This comprehensive solution enables garbage organizations to use a variety of tools in the system to optimize waste collection. By deploying this comprehensive solution, businesses is able operate at full scale, contributing to smarter and more sustainable urban settings.

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Author Biography

  • Nayef Abdulwahab Mohammed Alduais, Universiti Tun Hussein Onn Malaysia

    Assistant Professor and researcher with 50+ peer-reviewed articles published in scientific journals and conferences indexed by the Institute for Scientific Information (ISI) and Scopus, whose research interests include Internet of Things (IoT), edge computing, Tiny Machine Learning (TinyML) and embedded systems, wireless sensor networks, Industry 4.0 with IoT, and smart cities. Strong practical experience as a IOT Engineer and consultant and a history of providing professional services for IoT-based projects. A professional programmer in numerous computer programming languages, such as MATLAB, VB.NET, VC#.Net, Java, C++, Python, and testbed prototype implementation, such as Arduino, IoT Libelium Waspmote (Gases, Event and Smart Cities Boards), FPGA, Programmable Logical Control (PLC). My Ph.D. research title is An Efficient Real-Time Data Collection Model for Multivariate Sensors in Internet of Things (IoT) Applications.

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Published

09-12-2024

Issue

Vol. 5 No. 2 (2024): AITCS

Section

Articles

How to Cite

Ellison Lim Jian Hung, & TS. DR. NAYEF ABDULWAHAB MOHAMMED ALDUAIS. (2024). An IoT and Web-Based System for Efficient Waste Collection and Monitoring. Applied Information Technology And Computer Science, 5(2), 291-310. https://penerbit.uthm.edu.my/periodicals/index.php/aitcs/article/view/16495