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Title	Fog Node Placement Using Multi-Objective Genetic Algorithm
ID_Doc	26772
Authors	Singh S.; Vidyarthi D.P.
Year	2024
Published	International Journal of Information Technology (Singapore), 16, 2
DOI	http://dx.doi.org/10.1007/s41870-023-01530-1
Abstract	The emergence of the Internet of Things (IoT) has paved the way for numerous activities leading to smart life, such as health care, surveillance, and smart cities. Since many IoT applications are real-time, they need prompt processing and actuation. To enable this, a network of Fog devices has been developed to provide services close to the data generation points, i.e., the network's edge. Designing a feasible Fog network for managing the explosion of data from the edge to the Cloud requires intelligent monitoring. This work develops a model to address the issue of Fog node placement in a geographical area. The proposed model determines the location of the Fog devices and how to connect them to the Cloud in the best feasible way. Using a multi-objective genetic algorithm (MOGA), the proposed model minimizes the Deployment Cost (DC) and network latency (NL). The simulation setting is designed in Spyder (Anaconda3) using Python programming. © The Author(s), under exclusive licence to Bharati Vidyapeeth's Institute of Computer Applications and Management 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
Author Keywords	Fog computing; Fog node placement; Genetic algorithm (GA); Internet of things

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