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 |
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