Regular Issue - 2
The rapid increase in urban population has led to significant challenges in effective waste collection and disposal. Traditional waste management systems are often inefficient, resulting in environmental pollution and increased operational costs. This paper presents an Intelligent Waste Management System (IWMS) based on the Internet of Things (IoT) to enhance waste collection efficiency and sustainability. In the proposed system, smart sensors are installed in waste bins to monitor the fill level, temperature, and odor in real time. The collected data is transmitted through wireless networks to a cloud platform, where it is analyzed to optimize waste collection routes and schedules. The system alerts municipal authorities when bins reach a predefined threshold, thereby reducing unnecessary trips and fuel consumption. By integrating IoT with data analytics, the proposed model improves resource utilization, lowers maintenance costs, and promotes a cleaner urban environment. This approach represents a significant step toward developing smart cities with sustainable waste management practices.
100
75
43
100
75
43
100
75
43
India
"""
Copyright © 2020, This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC-BY-NY-SA). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Corresponding Author: Brahmaji Godi, brahmajigodi@gmail.com
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Conflict of interest: The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
No. of Readers
No. of Reaction
No. of Comments
No. of Downloads
Or share your Opinion
The rapid expansion of the World Wide Web has led to an enormous increase in online data, creating...
Breast cancer remains one of the most common and life-threatening diseases among women worldwide. Early detection and accurate...
With the exponential growth of healthcare data, disease prediction has become a crucial area of research in medical...
Impact Factor
Scopus & Web of Science under Evalution
Comments(0)