Jul 2026· International Journal of Innovative Science and Research Technology· 0 citations· 16 references
TL;DR
The study examines how IoT and AI technologies support resource management, trash reduction, and energy efficiency—three important urban sustainability objectives, and indicates that IoT and AI will play a significant role in creating sustainable cities of the future with careful deployment and regulatory support.
Abstract
The study examines how technology, particularly the Internet of Things (IoT) and artificial intelligence (AI),
might support sustainable urban development and real estate. Cities' effects on the environment, including energy use,
garbage output, and resource demand, present serious problems as they grow. As a result, sustainable urban development
has become a vital tactic to lessen these effects, with the goal of minimising ecological footprints while improving the
quality of life for locals. By enabling data-driven decision-making, real-time monitoring, and automated controls, IoT and
AI technologies present intriguing solutions that support the shift to more sustainable urban environments.
The study examines how IoT and AI technologies support resource management, trash reduction, and energy
efficiency—three important urban sustainability objectives. For example, precise energy monitoring and consumption
optimisation are made possible by smart grids and IoT-enabled sensors, and AI-driven algorithms help increase building
energy efficiency. IoT sensors that monitor garbage levels, optimise collection routes, and lower emissions are beneficial to
waste management. Real-time monitoring of air and water quality also improves resource management by facilitating
prompt responses and more sustainable resource utilisation.
To comprehend the potential of IoT and AI in improving urban sustainability, the research takes a conceptual
approach, combining current literature, theoretical frameworks, and case studies from smart city projects. The analysis
emphasizes these technologies' advantages as well as their drawbacks, including ethical issues with data privacy and
environmental effects. This study highlights the revolutionary potential of smart technology in building durable, effective,
and sustainable urban developments, despite its limitations due to its reliance on secondary data. The results indicate that
IoT and AI will play a significant role in creating sustainable cities of the future with careful deployment and regulatory
support.
The analysis demonstrates that the value of AI–IoT integration lies not simply in increasing technological sophistication but in enabling cities to minimize resource consumption, anticipate infrastructure failure, reduce emissions, improve service responsiveness, and make urban systems increasingly adaptive.
P. S., Shaik Rahamtula, S. J. et al.· Stanzaleaf International Jou...· 0 citations
The fast pace of urbanization has made smart and sustainable infrastructure management more important than ever. Because of their inherent silos, traditional urban management systems are unable to adapt in real-time to shifting demands in areas such as water distribution, public safety, energy consumption, traffic flow...
P. Kumaresan, Hayel Khafajeh, R. Latha et al.· International Conference on...· 0 citations
The findings indicated that the adoption of AI-driven energy management systems can substantially reduce peak energy load, minimize unplanned outages, lower maintenance costs, and cut carbon emissions, while providing grid operators and policymakers with accurate, real time insights.
Stella Ebere Edeh, C. Ituma, Maduabuchi Ignatius Edeh et al.· International Journal of Inn...· 0 citations
This paper explores the integration of Internet of Things (IoT) technologies and data analytics in improving resource management within smart cities and addresses key challenges, such as data privacy, security, and system integration.
S. Verma, Priya Kapoor· International Journal of Eme...· 0 citations
The results show that the implementation of multi-layered technological systems can contribute to the increased resilience, better interaction with citizens, and efficiency of urban operations greatly.
Isabella Franklin, Sathya Narayanan K· International Journal of Mod...· 0 citations
This paper presents a comprehensive survey of techniques aimed at improving the energy efficiency and sustainability of Green AIoT systems and examines how AI-assisted techniques, including TinyML, edge AI, and intelligent computation offloading, complement traditional Green IoT mechanisms to reduce energy consumption.
Mislav Has, Fehmi Ben Abdesslem, Mario Kušek et al.· Applied Sciences· 0 citations
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