What question did this study set out to answer?

To develop an efficient resource allocation and management strategy that enhances reliability, minimizes latency, and optimizes energy consumption in IoT-based transportation systems using fog computing.

March 19, 2023ElectronicsOpen Access

Reliable Resource Allocation and Management for IoT Transportation Using Fog Computing

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To develop an efficient resource allocation and management strategy that enhances reliability, minimizes latency, and optimizes energy consumption in IoT-based transportation systems using fog computing.
Designed a decentralized resource management framework to mitigate resource and link failures across battery-constrained fog devices.
Simulated the proposed allocation strategy using the iFogSim2 simulation toolkit and evaluated its performance against an existing state-of-the-art strategy.
The proposed strategy reduced system latency by 10.3% compared with the existing baseline approach.
Energy consumption across the fog computing environment decreased by 21.85% relative to the state-of-the-art strategy.

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Implication

Simulation study demonstrates reduced latency and energy consumption in IoT transportation networks, highlighting improved reliability for fog computing environments.

Cite This Study

Atiq et al. (2023) studied this question.

synapsesocial.com/papers/6a196a20fa25ab5db6d979c0 https://doi.org/10.3390/electronics12061452

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Implication

Simulation study demonstrates reduced latency and energy consumption in IoT transportation networks, highlighting improved reliability for fog computing environments.

Reliable Resource Allocation and Management for IoT Transportation Using Fog Computing

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Discussion

Implication

Cite This Study

Reliable Resource Allocation and Management for IoT Transportation Using Fog Computing

Key Points

Discussion

Implication

Cite This Study

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