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Title Fog Computing Based Architecture For Smart City Projects And Applications
ID_Doc 26740
Authors Mehta N.; Ruparelia A.; Verma J.P.
Year 2022
Published Lecture Notes on Data Engineering and Communications Technologies, 74
DOI http://dx.doi.org/10.1007/978-981-16-3448-2_10
Abstract Fog computing is an extension to cloud computing, offering benefits such as minimal latency, wide geographical distribution, and location awareness by providing flexible services at the edge of the network. The onset of fog computing has catered solutions to many applications, Smart City projects being one of them. Fog computing has the potential to deliver an impact in smart city projects, as the former application involves economic and social aspects along with the technical aspect. The increase in city urbanization demands smart solutions that tackle critical problems such as healthcare, mobility, infrastructure, parking space availability, waste management, and energy consumption. Industry 4.0 conceptualizes that, Internet of Things (IoT) along with fog computing would be used for the development of a network of devices. These devices function independently in real-time and provide the required infrastructure for a smart city. This research study presents a comprehensive literature survey on the deployment architectures of fog computing in smart city applications such as Smart Waste Management and Smart Parking. An emphasis is laid more on the integration of Industry 4.0’s core concepts and fog computing while also taking into consideration the deployment aspects. With the proposed architectures and mentioned approaches, improvements would be seen in terms of resource utilization, processing overhead, and latency. In the latter part of the research survey, the potential merits of the proposed approaches and future work directions are discussed. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Author Keywords Fog computing; Industry 4.0; IoT (internet of things); Smart city projects; Smart parking; Waste management


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