| Issue |
E3S Web Conf.
Volume 599, 2024
6th International Conference on Science and Technology Applications in Climate Change (STACLIM 2024)
|
|
|---|---|---|
| Article Number | 04007 | |
| Number of page(s) | 8 | |
| Section | Advance and Emerging Technology | |
| DOI | https://doi.org/10.1051/e3sconf/202459904007 | |
| Published online | 10 January 2025 | |
Smart Waste Management System Using Lora Technology
1 Department of Electrical, Electronic and Systems Engineering, Universiti Kebangsaan Malaysia, UKM Bangi, Selangor, Malaysia
2 Space Science Centre, Institute of Climate Change, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor Malaysia
* Corresponding author: norsuzlin@ukm.edu.my
In residential areas and commercial spaces, garbage houses serve as important disposal sites. However, rapid urbanization has led to a surge in population, increasing waste production. The conventional waste collection schedules have proven to be inefficient: frequent visits to empty bins are waste resources, while delayed cleaning of overflowing bins harms the environment. To address this challenge, proposals to integrate IoT into smart waste management systems by using LoRa communication for realtime monitoring of fill levels bin and indoor air quality emerge. It involves the integration of sensor technology, IoT connectivity, data analytics, and LoRa technology, leading to more efficient, data-driven, and technologically advanced waste management practices. This digitalization aims to increase operational efficiency, reduce costs, minimize environmental impact, and optimize resource allocation in waste collection and processing.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.