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FGCF: fault-aware green computing framework in software-defined social internet of vehicle

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Abstract

The social internet of vehicle (SIoV) is a specialized network combining intelligent sensing devices and vehicular communications to address traffic monitoring and resource management challenges in smart cities. Ensuring efficient and sustainable green computing with global network stability is crucial, especially in the dynamic environment of vehicular mobility. The software-defined-SIoV (SD-SIoV) architecture separates control and forwarding planes for centralized management. The architecture addresses green traffic data dissemination with heterogeneous traffic data by formulating control plane nodes’ election as an NP-Hard optimization problem, considering parameters, e.g., transmission distance, node’s residual energy, load imbalance, and mobility factor. The architecture incorporates the random way-point mobility (RWPM) model for simulating nodes’ mobility. The proposed improved energy-efficient gray wolf optimization (IEEGWO) algorithm enhances energy-efficiency by intelligently electing and re-electing optimal control plane nodes, jointly addressing load imbalance and fault-tolerance issues, ultimately improving green computing and communication performance in SD-SIoV. Comparative analysis with state-of-the-art demonstrates that IEEGWO provides significant green computing benefits in a real-time SIoV scenario

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Authors and Affiliations

  1. Computer Science, ABV-IIITM, Gwalior, MP, 474015, India

    Pooja Mishra & W. Wilfred Godfrey

  2. Computer Science, IIT Roorkee, Roorkee, Uttrakhand, 247667, India

    Neetesh Kumar

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  1. Pooja Mishra
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  2. W. Wilfred Godfrey
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Contributions

Pooja Mishra has made substantial contributions to the conceptualization, methodology design of the proposed work, result analysis, drafting of the paper, and review, and agreed to be accountable for all aspects of the work. W. W. Godfrey has conceptualized, critically reviewed the draft, agreed to be accountable for all aspects of the work, and approved the version to be published. Neetesh Kumar has conceptualized and critically reviewed the draft, agreed to be accountable for all aspects of the work, and approved the version to be published.

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Mishra, P., Godfrey, W.W. & Kumar, N. FGCF: fault-aware green computing framework in software-defined social internet of vehicle. J Supercomput (2024). https://doi.org/10.1007/s11227-024-06116-7

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