Smart City Gnosys

Smart city article details

Title Smart City Innovations And Iot As A Frontier Of Ai At The Edge Of Intelligence
ID_Doc 50314
Authors Soni P.
Year 2025
Published Edge of Intelligence: Exploring the Frontiers of AI at the Edge
DOI http://dx.doi.org/10.1002/9781394314409.ch14
Abstract The advent of Smart City programs, utilizing cutting-edge technology to improve urban life and resource management, has been motivated by the rapid rate of urbanization and the expanding issues faced by growing populations. The Internet of Things (IoT), a network of linked machines and sensors that gather and communicate enormous quantities of data, is at the heart of these advancements. To enable data analytics for Smart City applications, the revolutionary function of IoT is explored in this article. The idea of smart cities and a discussion of the value of data-driven decision-making in managing urban complexity are presented in the chapter. Cities can build a complete data ecosystem that collects real-time data on traffic, air quality, trash management, energy usage, and other topics by integrating various IoT-enabled devices, such as smart sensors, cameras, and actuators. The focus of the second section is on the fundamental components of data analytics in smart cities. The massive amounts of data produced by the IoT are processed using advanced analytics methods like machine learning, data mining, and predictive modeling. Urban planners, managers, and politicians may improve public services, optimize municipal operations, and proactively address urban concerns by using actionable insights from data analytics. It also emphasizes the numerous uses of IoT-enabled data analytics in Smart Cities. It looks at scenarios where real-time traffic data is used in intelligent transportation systems for congestion control and route optimization. Additionally, resource optimization, cost cutting, and increased environmental sustainability are made possible by the integration of data analytics in waste management and energy distribution systems. The difficulties with IoT data analytics in smart cities are also discussed, including the requirement for scalable infrastructure, data privacy and security issues, and interoperability problems. For Smart City's efforts to expand sustainably and to gain public trust, it is essential to mitigate these problems. This chapter also emphasizes how IoT-driven data analytics in Smart Cities may have social effects. Considerations like inclusion, justice, and the ethical use of data strike a balance between increased efficiency and a bettered quality of life for residents. To sum up, the Internet of Things has enabled Smart City developments that have enormous potential for data analytics, allowing metropolitan areas to become more sustainable, resilient, and responsive. Cities can make educated choices, allocate resources efficiently, and create policies that serve the needs and ambitions of their residents by using the insights gained from IoT-generated data. However, effective data governance structures, stakeholder cooperation, and a strong commitment to addressing the larger social and ethical consequences of this disruptive technology are necessary for its deployment. © 2025 Scrivener Publishing LLC. All rights reserved.
Author Keywords Data analytics; Environmental sustainability; Infrastructure management; Internet of things (IoT); Public policy; Public services & safety; Smart cities; Urban planning; Urbanization


Similar Articles


Id Similarity Authors Title Published
33794 View0.947Sharma, DK; Garg, LIot Enabled Human-Machine Systems For Smart City Infrastructure - Present Scenario And ChallengesINTERNATIONAL JOURNAL OF WEB INFORMATION SYSTEMS (2025)
4297 View0.937Kasubi J.W.; D.h M.; Demewez G.D.A Review On The Internet Of Things And Big Data Analytics Based On Smart CitiesProceedings - International Conference on Artificial Intelligence and Smart Systems, ICAIS 2021 (2021)
12015 View0.935Singh Rathore S.P.; Vishnubhai Dalabhai C.; Babubhai Patel C.K.; Sharma R.; Mathur A.; Yadav A.Big Data Analytics For Smart CitiesProceedings - IEEE 2024 1st International Conference on Advances in Computing, Communication and Networking, ICAC2N 2024 (2024)
17372 View0.931Singh A.; Kumar M.Data Urbanity: Smart City Evolution Through Iot And Data Science3rd International Conference on Innovative Mechanisms for Industry Applications, ICIMIA 2023 - Proceedings (2023)
49921 View0.925Ullah A.; Anwar S.M.; Li J.; Nadeem L.; Mahmood T.; Rehman A.; Saba T.Smart Cities: The Role Of Internet Of Things And Machine Learning In Realizing A Data-Centric Smart EnvironmentComplex and Intelligent Systems, 10, 1 (2024)
50507 View0.925Shatat A.; Shatat A.; Mobin Akhtar M.; Al Dweiri M.Smart City Solutions: Using Iot And Data Analytics To Address Urban Challenges2024 International Conference on Decision Aid Sciences and Applications, DASA 2024 (2024)
30379 View0.925Lakshmi D.; Jeyarani J.; Suguna R.; Muneeshwari P.; Valantina G.M.; Jayaraman S.Impact Of Iot Data Integration On Real-Time Analytics For Smart City ManagementProceedings of the 2024 10th International Conference on Communication and Signal Processing, ICCSP 2024 (2024)
55978 View0.923Bibri S.E.The Iot And Big Data Analytics For Smart Sustainable Cities: Enabling Technologies And Practical ApplicationsAdvances in Science, Technology and Innovation (2020)
56585 View0.922Pavunraj D.; Jayalakshmi J.; Mustafa Nawaz S.M.; Anbumaheshwari K.; Mathankumar A.The Role Of Iot For Smart Cities: Innovations, Challenges, And Future ProspectsLeveraging Urban Computing for Sustainable Urban Development (2025)
49568 View0.921Aishwarya R.I.; Asimithaa K.; Eunice J.Smart Cities For The Future: A Data Science ApproachCyber security and Data Science Innovations for Sustainable Development of HEICC: Healthcare, Education, Industry, Cities, and Communities (2025)