1 Department of Electronics and Communication Engineering, DACG, Government Polytechnic, Chikkamagaluru 577101, Karnataka, India
2 Department of Computer Science and Engineering, DACG, Government Polytechnic, Chikkamagaluru 577101, Karnataka, India
Research Article
World Journal of Advanced Research and Reviews, 2019, 01(03), 092–099
Received on 13 April 2019; Revised 25 April 2019; accepted on 29 April 2019
The increasing generation of waste worldwide necessitates innovative solutions for effective waste management and recycling to mitigate environmental degradation and promote sustainability. Traditional waste management systems often suffer from inefficiencies, including delayed waste collection, improper segregation, and ineffective recycling processes. The Internet of Things (IoT) presents a transformative approach by integrating smart sensors, cloud computing, and data analytics to enable real-time monitoring, automation, and optimization of waste collection, segregation, and recycling. This paper explores the application of IoT in waste management by analyzing its technological framework, benefits, challenges, and future prospects. It discusses the role of smart bins equipped with sensors for real-time waste level monitoring, RFID and GPS-based tracking for optimized waste collection routes, and AI-driven analytics for waste classification and recycling enhancement. Additionally, the paper examines the impact of IoT-driven waste management solutions on operational efficiency, cost reduction, and environmental sustainability. Case studies from various global implementations provide insights into the effectiveness of IoT-enabled systems in reducing waste accumulation, minimizing landfill usage, and promoting circular economy practices. Statistical data and graphical representations illustrate the improvements in waste collection efficiency, reduction in carbon footprint, and increased recycling rates due to IoT adoption. Despite its advantages, IoT-based waste management faces challenges such as high initial costs, data security concerns, and the need for robust infrastructure. This paper also discusses potential solutions, including the integration of edge computing, blockchain for data security, and AI-powered predictive analytics to enhance IoT deployment in waste management. The findings highlight that IoT has the potential to revolutionize waste management by making it more efficient, cost-effective, and environmentally friendly. Future research should focus on overcoming implementation barriers and expanding IoT applications to different waste streams, including electronic waste and hazardous materials, to further enhance sustainability and smart city development.
IoT; AI; Waste Management; Embedded system; Wifi
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Nagashree N and Leela C P. IoT-driven waste management and recycling automation. World Journal of Advanced Research and Reviews, 2019, 1(3), 092-099. Article DOI: https://doi.org/10.30574/wjarr.2019.1.3.0121