IoT and Sensor-Enabled Waste Management: Towards Smart and Sustainable Cities
IoT and sensor-based waste management exist as priority solutions for the problems from an urban perspective. Urban areas keep on rising in population, with a developing measure of waste created yearly that can put immense strain on conventional Waste Management Systems. This is where forward-thinking technologies like IoT and sensors are introduced into waste management services to be more resourceful, cost-effective, and eco-friendly. A network of connected devices, sensors, and data analytics to collect real-time data is made possible because of this IoT technology. IoT can be used to check and track bin & container waste levels and disposal routing scheduling needs. It enables information transfer among recycling service providers and residents. This can also include sensors in waste bins that allow real-time data on the composition of discarded materials to be gathered and help spot improvements. IoT and sensor technology in waste management help to reduce costs of waste collection & disposal and more effective sorting of recyclable materials, which can be what we need for a long time while caring about the environment. Moreover, the live data it provides helps make effective and well-planned decisions for waste management strategies in the future. All told, combining IoT with sensor-based waste management stands to revolutionize our great cities into intelligent and sustainable places, instigating better disposal habits conducive to people's health.
Authors
- Ayes Chinmay (ORCID: https://orcid.org/0000-0002-4625-081X)
- Awakash Mishra (ORCID: https://orcid.org/0009-0002-5447-7499)
- H Srikantha (ORCID: https://orcid.org/0000-0003-2575-5752)
- T Gomathi
- Lakshya Swarup (ORCID: https://orcid.org/0009-0006-3351-5248)
- Mohit Gupta (ORCID: https://orcid.org/0009-0003-3449-0968)
Institutions
- Jain University (IN)
- Siksha O Anusandhan University (IN)
- Maharishi University of Management and Technology (IN)
- Sathyabama Institute of Science and Technology (IN)
- Chitkara University (IN)
Publication Details
- Published
- 2025-03-04
- DOI
- https://doi.org/10.1109/autocom64127.2025.10957395
- Primary Topic
- Internet of Things and AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00