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<p>In modern vehicular network environments, the demand for efficient data processing is crucial. However, this demand can exceed the computational capacity of the vehicles’ On-Board Unit Interconnected (OBUI). One way to overcome these limitations is through edge devices with high computational capacity. Vehicular Edge Computing (VEC) facilitates the execution of these processing demands; however, latency remains a critical challenge. With advancements in 5G technology, research efforts have increasingly focused on determining whether tasks should be processed locally or offloaded to edge servers. Beyond latency considerations, energy consumption presents a significant concern for both OBUI and edge devices. This study introduces Fuzzy Offloading (FOFF), an innovative approach designed to balance these competing factors. Experiments show that FOFF reduces energy consumption and latency, achieving 72.11% energy savings and 0.61% lower processing time compared to the best greedy offloading approach considered. These results highlight FOFF’s efficiency in vehicular environments.</p>

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FOFF: an energy-efficient task offloading in VEC-enabled vehicular networks using fuzzy TOPSIS

  • 期刊论文

  • 发表日期：

    2025年9月19日

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  • Antônio Sérgio de Sousa Vieira,
  • Alisson Barbosa de Souza,
  • Joaquim Celestino Júnior

摘要

In modern vehicular network environments, the demand for efficient data processing is crucial. However, this demand can exceed the computational capacity of the vehicles’ On-Board Unit Interconnected (OBUI). One way to overcome these limitations is through edge devices with high computational capacity. Vehicular Edge Computing (VEC) facilitates the execution of these processing demands; however, latency remains a critical challenge. With advancements in 5G technology, research efforts have increasingly focused on determining whether tasks should be processed locally or offloaded to edge servers. Beyond latency considerations, energy consumption presents a significant concern for both OBUI and edge devices. This study introduces Fuzzy Offloading (FOFF), an innovative approach designed to balance these competing factors. Experiments show that FOFF reduces energy consumption and latency, achieving 72.11% energy savings and 0.61% lower processing time compared to the best greedy offloading approach considered. These results highlight FOFF’s efficiency in vehicular environments.