Development of Smart Waste Management Technologies Using IoT Solutions for Environmental Sustainability in Urban Infrastructure Planning


Authors : David Oche Idoko; Williams Ugbor Imarenakhue; Adebola Daisy Olade; Richard Asamoah Oppong; Mohamed Borbor Bah; Henry Chiedu Elue; Afolayan Ayokunle Fadeke

Volume/Issue : Volume 9 - 2024, Issue 12 - December

Google Scholar : https://tinyurl.com/yae2hnuk

Scribd : https://tinyurl.com/mrxx2mxz

DOI : https://doi.org/10.5281/zenodo.14353675

Abstract : This paper explores the transformative role of Internet of Things (IoT) technologies in revolutionizing urban waste management and its integration into sustainable urban planning. IoT-enabled systems provide real-time data monitoring and analytics, optimizing waste collection routes, reducing operational costs, and enhancing environmental outcomes. The study examines the critical technical, economic, and social challenges associated with IoT adoption, including connectivity, scalability, and public acceptance, alongside cost implications. It highlights emerging trends, such as AI and blockchain integration, which promise to elevate data-driven decision-making and transparency in waste management systems. The paper also addresses gaps in existing research, particularly in standardizing IoT frameworks and assessing the long- term environmental impacts of IoT adoption. Recommendations emphasize best practices for deploying IoT solutions, aligning them with global sustainability goals to foster smarter, more resilient urban ecosystems. By presenting a comprehensive analysis of IoT's role, challenges, and future directions, this study provides a robust foundation for advancing research and practical applications in smart urban waste management.

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This paper explores the transformative role of Internet of Things (IoT) technologies in revolutionizing urban waste management and its integration into sustainable urban planning. IoT-enabled systems provide real-time data monitoring and analytics, optimizing waste collection routes, reducing operational costs, and enhancing environmental outcomes. The study examines the critical technical, economic, and social challenges associated with IoT adoption, including connectivity, scalability, and public acceptance, alongside cost implications. It highlights emerging trends, such as AI and blockchain integration, which promise to elevate data-driven decision-making and transparency in waste management systems. The paper also addresses gaps in existing research, particularly in standardizing IoT frameworks and assessing the long- term environmental impacts of IoT adoption. Recommendations emphasize best practices for deploying IoT solutions, aligning them with global sustainability goals to foster smarter, more resilient urban ecosystems. By presenting a comprehensive analysis of IoT's role, challenges, and future directions, this study provides a robust foundation for advancing research and practical applications in smart urban waste management.

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