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Title	Enabling Sustainable Urban Ecosystems: Uniting Ai And Iot In Smart City Frameworks
ID_Doc	23062
Authors	Tarannum S.; Usha S.M.; Zohra F.
Year	2025
Published	Lecture Notes in Intelligent Transportation and Infrastructure, Part F99
DOI	http://dx.doi.org/10.1007/978-3-031-72959-1_18
Abstract	This chapter explores how the Internet of Things (IoT), Artificial Intelligence (AI), and LPWANS-Long-Range (LoRa) communications, are pivotal in advancing the frameworks of smart cities to foster sustainable urban ecosystems. It highlights how the synergistic application of these technologies significantly enhances connectivity, optimizes the allocation of resources, and improves communication systems within urban environments. Through a comprehensive analysis, the chapter investigates the various challenges that include infrastructure compatibility, data privacy, and the digital divide that impede the deployment of these technologies. Additionally, it explores the transformative effects of integrating AI and IoT on urban operations, from predictive maintenance to anomaly detection, thereby enhancing operational efficiency and public safety. Case studies and real-life examples are discussed to illustrate the successful implementation of these technologies in smart cities, emphasizing their alignment with the United Nations’ Sustainable Development Goals (SDGs) and their contribution to creating resilient, equitable, and thriving urban communities. This discourse not only underscores the benefits but also delves into the ethical and technical considerations necessary for leveraging AI, LoRa, and IoT in the evolution of smart urban landscapes. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
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