Title
Critical Analysis of Intelligent IoT in Creating Better Smart Waste Management and Recycling for Sustainable Development
Date Issued
01 January 2022
Access level
metadata only access
Resource Type
conference paper
Author(s)
Publisher(s)
Springer Science and Business Media Deutschland GmbH
Abstract
The Internet of Things (IoT) has found extensive use in areas such as water management, waste management, and sustainable development. With its broad connectivity, the Internet of Things is a new and promising technology that has the potential to positively transform human existence globally. IoT allows low-energy devices to exchange information and interact with one another. Waste management is a daily chore that necessitates a huge number of labour resources and has an impact on natural, fiscal, efficient, and social elements. The rate of garbage generation has been magnified at an alarming rate as a result of fast urbanisation and expanding population. As a result, as the world faces global environmental problems, it is necessary to develop changes in waste management systems and technology to address issues that have never been addressed in such innovative ways. Many applications throughout the world have been using IoT to conduct various activities to provide unique services for wastage handling and maximise energy efficiency. These improvements allow IoT technologies to serve as a bridge between basic network-based systems and technologies that scan and gather data from the real environment, as well as deliver new services and applications that help people in a variety of ways. As a result, this research conducts a study of existing IoT-enabled waste management solutions and sustainable development. The goal is to get an understanding of the strengths and weaknesses so that changes and innovations may be made to effectively and efficiently manage waste while also maintaining a healthy environment in the communities. The impact of waste management on long-term economic, social, and environmental sustainability is also depicted in the literature review. The secondary data has been used in the research to gain a reliable conclusion of the study.
Start page
217
End page
225
Volume
1591 CCIS
Language
English
OCDE Knowledge area
Ecología
Subjects
Scopus EID
2-s2.0-85131938815
Source
Communications in Computer and Information Science
Resource of which it is part
Communications in Computer and Information Science
ISSN of the container
18650929
ISBN of the container
978-303107011-2
Conference
5th International Conference on Emerging Technologies in Computer Engineering: Cognitive Computing and Intelligent IoT, ICETCE 2022
Sources of information:
Directorio de Producción Científica
Scopus