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The Journal of Supercomputing
Published 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

Authors: Subha Ghosh, Debashis De

Published in: The Journal of Supercomputing | Issue 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.
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Metadata
Title
TARA: weighted majority cooperative game theory-based task assignment and resource allocation in 5G heterogeneous fog network for IoT
Authors
Subha Ghosh
Debashis De
Publication date
08-04-2023
Publisher
Springer US
Published in
The Journal of Supercomputing / Issue 13/2023
Print ISSN: 0920-8542
Electronic ISSN: 1573-0484
DOI
https://doi.org/10.1007/s11227-023-05228-w

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