Integrating Iot and Data Analytics for Efficient Resource Management in Smart Cities

  • Authors

    • Sanjay Verma Operations Manager, HCL Technologies, India. Author
    • Priya Kapoor Business Analyst, Accenture, India. Author

    DOI:

    https://doi.org/10.67228/30715636/IJETMR-2021PII7T3Z

    Published 12-04-2021

  • Smart Cities, Internet Of Things (IoT), Data Analytics, Resource Management, Sustainability, Smart Grids, Predictive Analytics, Urban Optimization, Citizen Engagement, Real-Time Data, Traffic Management, Case Studies In Smart Cities, Sustainable Urban Development

    Issue

    Vol. 4 No. 2 (2021)

    Section

    Articles

    How to Cite

    [1]
    S. Verma and P. Kapoor, “Integrating Iot and Data Analytics for Efficient Resource Management in Smart Cities”, IJETMR, vol. 4, no. 2, pp. 01–16, Dec. 2021, doi: 10.67228/30715636/IJETMR-2021PII7T3Z.

  • Abstract

    In recent years, the development of smart cities has gained considerable attention due to the growing need for sustainable and efficient resource management. As urbanization accelerates, cities are facing increasing challenges in managing resources such as energy, water, waste, and transportation. This paper explores the integration of Internet of Things (IoT) technologies and data analytics in improving resource management within smart cities. By leveraging IoT devices, real-time data collection, and advanced data analytics techniques, cities can optimize resource allocation, reduce waste, and enhance citizen engagement. Through various case studies, the paper highlights the impact of IoT-driven solutions on urban services, including smart grids, water conservation, waste management, and traffic control. While the integration of IoT and data analytics presents significant opportunities, the paper also addresses key challenges, such as data privacy, security, and system integration. Finally, the paper discusses future trends and opportunities for creating smarter, more sustainable cities through the convergence of IoT and data analytics.

  • References

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