Edge Computing In Iot For Smart Cities

  • Unique Paper ID: 193412
  • PageNo: 52-58
  • Abstract:
  • As urbanization intensifies globally, nations are increasingly adopting the smart city approach to address the challenges of rising infrastructure demands and sustainability issues. Smart cities, powered by the Internet of Things (IoT), are designed to tackle these challenges by enabling real-time monitoring, digitization, and optimization of urban services. Nonetheless, the centralized cloud computing model often utilized by smart cities has challenges of high latency, bandwidth limitations, and privacy concerns. These challenges have resulted in the consideration of edge computing as the best option, as it enables the processing of data closer to its sources, rather than transferring to centralized platform. This makes decision-making faster while also enhancing security and enabling system resilience. This article explores the important role of edge computing in IoT-driven smart city development across the globe, evaluating the effectiveness of edge computing in key domains such as smart transportation, energy management, public safety, and waste and water services. The article includes real-world case studies like Barcelona, New York, and Tokyo, analyzing the practical benefits, including reduced congestion, faster grid outage detection, and network traffic optimization the cities have gained from adopting the technology. It also presents the critical challenges such as interoperability, cybersecurity, infrastructure costs, and policy gaps, that are hindering faster adoption.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{193412,
        author = {Ruchi Kishor Waghamare and Rudrani Rajesh Shirbhate and Rutika Suresh Maske and Rutuja Ravindra Iskape and Rohan Sandip Rathod and Rutuja Mahendra Satinge and Rushikesh Dhananjay Lanjewar and Tanuja Shankar Dandekar},
        title = {Edge Computing In Iot For Smart Cities},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {10},
        pages = {52-58},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=193412},
        abstract = {As urbanization intensifies globally, nations are increasingly adopting the smart city approach to address the challenges of rising infrastructure demands and sustainability issues. Smart cities, powered by the Internet of Things (IoT), are designed to tackle these challenges by enabling real-time monitoring, digitization, and optimization of urban services. Nonetheless, the centralized cloud computing model often utilized by smart cities has challenges of high latency, bandwidth limitations, and privacy concerns. These challenges have resulted in the consideration of edge computing as the best option, as it enables the processing of data closer to its sources, rather than transferring to centralized platform. This makes decision-making faster while also enhancing security and enabling system resilience.
This article explores the important role of edge computing in IoT-driven smart city development across the globe, evaluating the effectiveness of edge computing in key domains such as smart transportation, energy management, public safety, and waste and water services. The article includes real-world case studies like Barcelona, New York, and Tokyo, analyzing the practical benefits, including reduced congestion, faster grid outage detection, and network traffic optimization the cities have gained from adopting the technology. It also presents the critical challenges such as interoperability, cybersecurity, infrastructure costs, and policy gaps, that are hindering faster adoption.},
        keywords = {Edge Computing, Internet of Things (IoT), Smart Cities, Real-Time Data Processing, Urban Infrastructure Optimization},
        month = {March},
        }

Cite This Article

  • ISSN: 2349-6002
  • Volume: 12
  • Issue: 10
  • PageNo: 52-58

Edge Computing In Iot For Smart Cities

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