Sustainable Urban Development: Smart Cities and the Role of IoT in Building Resilient Communities
Abstract
Rapid urbanization presents significant challenges to sustainable development, including increased energy consumption, pollution, and infrastructure strain. This paper explores the concept of smart cities as a solution to urban sustainability challenges, with a focus on the role of the Internet of Things (IoT) in improving urban infrastructure, transportation, and energy management. By analyzing case studies of smart city projects, the paper highlights the benefits of real-time data collection, predictive maintenance, and automated systems in enhancing urban resilience and reducing environmental impact. The findings demonstrate that smart cities can improve the quality of life for residents while contributing to the achievement of sustainability targets through intelligent resource management and technological innovation.
References
Krishna Madhav, J., Varun, B., Niharika, K., Srinivasa Rao, M., & Laxmana Murthy, K. (2023). Optimising Sales Forecasts in ERP Systems Using Machine Learning and Predictive Analytics. J Contemp Edu Theo Artific Intel: JCETAI-104.
Jha, K. M., Velaga, V., Routhu, K., Sadaram, G., Boppana, S. B., & Katnapally, N. (2025). Transforming Supply Chain Performance Based on Electronic Data Interchange (EDI) Integration: A Detailed Analysis. European Journal of Applied Science, Engineering and Technology, 3(2), 25-40.
Jha, K. M., Velaga, V., Routhu, K. K., Sadaram, G., & Boppana, S. B. (2025). Evaluating the Effectiveness of Machine Learning for Heart Disease Prediction in Healthcare Sector. J Cardiobiol, 9(1), 1.
KishanKumar Routhu, A. D. P. Risk Management in Enterprise Merger and Acquisition (M&A): A Review of Approaches and Best Practices.
Bodepudi, V. (2023). Understanding the Fundamentals of Digital Transformation in Financial Services: Drivers and Strategic Insights. Journal of Artificial Intelligence and Big Data, 3(1), 10-31586.
Jha, K. M., Bodepudi, V., Boppana, S. B., Katnapally, N., Maka, S. R., & Sakuru, M. Deep Learning-Enabled Big Data Analytics for Cybersecurity Threat Detection in ERP Ecosystems.
Boppana, S. B., Moore, C. S., Bodepudi, V., Jha, K. M., Maka, S. R., & Sadaram, G. AI And ML Applications In Big Data Analytics: Transforming ERP Security Models For Modern Enterprises.
