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The Journal of Supercomputing
Erschienen in: The Journal of Supercomputing 13/2023

08.04.2023

TARA: weighted majority cooperative game theory-based task assignment and resource allocation in 5G heterogeneous fog network for IoT

verfasst von: Subha Ghosh, Debashis De

Erschienen in: The Journal of Supercomputing | Ausgabe 13/2023

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Abstract

A weighted majority cooperative game (WMCG) theory-based heterogeneous fog architecture with fog-to-fog (F2F) communication is proposed in this article to reduce the delay and power consumption of the network. The fog devices are participated as players in the game, and they are operated cooperatively to perform a task. If one fog device is unable to complete the task, only a part of task is completed by it and the remaining task is completed by neighbour fog devices. Among the neighbour fog devices, the high majority fog device is selected using WMCG. The proposed TARA has generated \(\sim \) 7–24, 9–28 and 11–30% less delay and \(\sim \) 9–28, 11–31, and 12–32% less power consumption for transmitting 1 Kb, 5 Kb, and 10 Kb of data, respectively, than other networks. Results show that the proposed TARA is a delay and power efficient network.
Vorheriger Artikel UAV-assisted ubiquitous communication architecture for urban VANET environment
Nächster Artikel SIMD vectorization for simultaneous solution of locally varying linear systems with multiple right-hand sides

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Metadaten
Titel
TARA: weighted majority cooperative game theory-based task assignment and resource allocation in 5G heterogeneous fog network for IoT
verfasst von
Subha Ghosh
Debashis De
Publikationsdatum
08.04.2023
Verlag
Springer US
Erschienen in
The Journal of Supercomputing / Ausgabe 13/2023
Print ISSN: 0920-8542
Elektronische ISSN: 1573-0484
DOI
https://doi.org/10.1007/s11227-023-05228-w

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