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<p>In mobile Wi-Fi data traffic offloading scenarios, the last-mile wireless communication link to be operational is crucial; Wi-Fi connection or node failures in such links might disrupt the offloading process. Also, failures in wireless communication links can halt live-running applications on mobile devices. Motivated by these challenges, in this paper, we propose incorporating failures in the model. Accordingly, we propose the <b>delayed offloading with failures using balking</b> scheme. This scheme incorporates balking and reneging to reduce latency and mitigate job loss. Using this scheme, we obtain 62.5% reduction in delay and 66.6% reduction in job loss at the median of reneging deadline. We have theoretically analyzed the failures and validated them using real data traces. The scheme’s performance is mathematically scrutinized using matrix-geometric methods to determine stationary probabilities, enabling the computation of performance measures of interest. These analytical findings are corroborated through simulation, demonstrating the superiority of the proposed scheme over the existing delayed offloading with failures model.</p>

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Delayed offloading with failures using balking scheme: QoE design and analysis

  • 期刊论文

  • 发表日期：

    2025年2月24日

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  • S Pramod,
  • R Manivasakan

摘要

In mobile Wi-Fi data traffic offloading scenarios, the last-mile wireless communication link to be operational is crucial; Wi-Fi connection or node failures in such links might disrupt the offloading process. Also, failures in wireless communication links can halt live-running applications on mobile devices. Motivated by these challenges, in this paper, we propose incorporating failures in the model. Accordingly, we propose the delayed offloading with failures using balking scheme. This scheme incorporates balking and reneging to reduce latency and mitigate job loss. Using this scheme, we obtain 62.5% reduction in delay and 66.6% reduction in job loss at the median of reneging deadline. We have theoretically analyzed the failures and validated them using real data traces. The scheme’s performance is mathematically scrutinized using matrix-geometric methods to determine stationary probabilities, enabling the computation of performance measures of interest. These analytical findings are corroborated through simulation, demonstrating the superiority of the proposed scheme over the existing delayed offloading with failures model.