A NOVEL WASTE MANAGEMENT MODEL USING IOT IN SMART CITIES
DOI:
https://doi.org/10.63503/c.acset.2025.22Keywords:
Smart Bins, Waste Segregation, Environmental Monitoring, Sustainable RecyclingAbstract
The rapid increase in urbanization, industrialization, and population growth has caused an unprecedented surge in waste generation. Traditional waste management systems, which depended on fixed collection schedules and inefficient routing, are struggling to cope with the escalating volume and complexity of waste. The existing waste is also harmful to our health and environment. Accumulated waste serves as an ideal breeding ground for bacteria, insects, and flies, increasing the risk of food-borne illnesses. Decomposing waste releases toxic gases such as Carbon Dioxide, Methane, and Nitrous Oxide, contributing to air pollution and related health hazards. Hazardous waste like electronic items and plastic disrupts ecosystems, and improper segregation of waste at household and industrial levels remains a major challenge, adding significant pressure on already overburdened landfills.
This article proposes a multifaceted approach that utilizes Internet-of-Things-powered self-sustainable smart bins, each monitored via web interfaces accessible to the general public to promote transparency and accountability. The model also encourages proper disposal of domestic waste using a reward-based mechanism powered by blockchain technology while emphasizing sustainable recycling techniques such as material flow mapping and other technological assessments.
References
[1] Swathika, D.R., Radha, D.N., Raghavan, S., & Chellakumar, S. (2024). Catalyzing DomesticWaste Management: A Deep Learning and IoT Enabled Smart Bin. 2024 Second InternationalConference on Inventive Computing and Informatics (ICICI), 279-285.
[2] Goel, Mohit Kumar and Gurpreet Singh. “Classifying Biodegradable and Non-BiodegradableWaste using a Pretrained VGG16 Model.” 2024 Global Conference on Communications and Information Technologies (GCCIT) (2024): 1-6.
[3] Alim and Chandrakant Kulkarni Ram. “KEYNOTE SPEAKER AB- STRACTS Tropical brownalgae immunostimulants in aquaculture More research and education in aquaculture for sustainable seafood and nutrition security.” (2020).
[4] N. Anggraini, S. F. R. Bachri and M. T. Rosyadi, ”Implementation of LoRaWAN Routing Protocol in Wireless Sensor Network for Smart Com- post System with LoRa Communication Module” 2023 11th International Conference on Cyber and IT Service Management (CITSM), Makassar, Indonesia, 2023, pp. 1-5.
[5] Rivera, Diana Rose T. et al. “Waste to Energy Technologies using Multi- Criteria Decision Analysis for Municipal Solid Waste Management in Manila City, Philippines.” 2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM) (2021): 1-5.
[6] Singhvi, Rishabh Kumar et al. “IoT BasedSmart Waste Management System: India prospective.” 2019 4th International Conference on Inter- net of Things: Smart Innovation and Usages(IoT-SIU) (2019): 1-6.
[7] Paturi, Mohinish et al. “Smart Solid Waste Management System Using Blockchain and IoT for Smart Cities.” 2021 IEEE International Sympo- sium on Smart Electronic Systems (iSES) (Formerly iNiS) (2021): 456- 459.
[8] Wen, Xue-feng et al. “The new process in integrated e-waste manage- ment in China.” 2008 IEEE International Symposium on Electronics and the Environment (2008): 1-6.
[9] S, Gowtham et al. “Waste Wisely: IoT-Powered Smart Bins Redefining Food Waste Management.” 2025 3rd International Conference on Ad- vancements in Electrical, Electronics,Communication, Computing and Automation (ICAECA) (2025): 1-6.
[10] Shvetsova, Olga A.. “Development of Environmental Management in South Korea: Practice of Industrial Waste Processing.” 2018 IEEE Inter- national Conference”Management of Municipal Waste as an Important Factor of Sustainable Urban Development” (WASTE) (2018): 3-6.
[11] Jammoul, Mateel et al. “Engineering Laboratories Chemical Waste Management—Introduction of a Web-Based System.” IEEE Engineering Management Review 51 (2023): 205-214.