The empirical evaluation, conducted on three real datasets, shows promising performance, in which up to 99.68% accuracy and 99.52% F1 score have been attained. In addition, various open research challenges and future orientations to improve data fusion based energy efficiency ecosystems are explored.
Aug 28, 2018 · We evaluated the tree-based fog computing model and consumed. We showed the total electric energy consumption of nodes and the execution time of ...
In the evaluation, we show the total electric energy consumption of nodes in the tree-based model is smaller than the cloud computing model.
Jun 14, 2024 · In this paper, we evaluate the TBFC model in terms of total energy consumption of nodes where each device node periodically sends sensor data.
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In the evaluation, we show the total electric energy consumption of nodes in the tree-based model is smaller than the cloud model where processes and data are ...
We evaluate the tree-based fog computing (TBFC) model compared with the tree-based cloud computing (TBCC) model. In this paper, we consider a height-balanced k- ...
Evaluation of an energy-efficient tree-based model of fog computing. R Oma, S Nakamura, D Duolikun, T Enokido, M Takizawa. Advances in Network-Based Information ...
Dec 8, 2024 · In order to reduce the energy consumption and execution time of nodes and servers, the TBFC (Tree-Based Fog. Computing) model [2] is proposed.
Mar 20, 2024 · In this study, we focus on the placement of fog services and their dynamic reconfiguration in response to the end-device requests. Due to its ...
Jul 4, 2019 · In the fog computing model of the IoT, subprocesses of an application process to handle sensor data are performed on fog nodes.