Joint optimization of energy consumption and time delay in IoT-fog-cloud computing environments using NSGA-II metaheuristic algorithm

Today, there exists a growing demand for Internet of Things (IoT) services in the form of vehicle networks, smart cities, augmented reality, virtual reality, positioning systems, and so on. Due to the considerable distance between the IoT devices and the central cloud, using this option may no longe...

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Bibliographic Details
Published in:	Journal of ambient intelligence and humanized computing Vol. 14; no. 3; pp. 1675 - 1698
Main Authors:	Jafari, Vahid, Rezvani, Mohammad Hossein
Format:	Journal Article
Language:	English
Published:	Berlin/Heidelberg Springer Berlin Heidelberg 01-03-2023 Springer Nature B.V
Subjects:	Algorithms Artificial Intelligence Augmented reality Cloud computing Computation offloading Computational Intelligence Edge computing Energy consumption Engineering Evolutionary computation Genetic algorithms Heuristic Heuristic methods Internet of Things Methods Minimax technique Network latency Nodes Optimization Original Research Queuing theory Response time Robotics and Automation Search algorithms Sorting algorithms Statistical analysis Time lag User Interfaces and Human Computer Interaction Virtual reality Fog computing Time-constraint task Energy consumption Internet of Things (IoT) Genetic algorithm Task offloading
Online Access:	Get full text
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