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Security and Energy-aware Collaborative Task Offloading in D2D communication

机译:D2D通信中的安全和能量感知协作任务卸载

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摘要

Device-to-device (D2D) communication technique is used to establish direct links among mobile devices (MDs) to reduce communication delay and increase network capacity over the underlying wireless networks. Existing D2D schemes for task offloading focus on system throughput, energy consumption, and delay without considering data security. This paper proposes a Security and Energy-aware Collaborative Task Offloading for D2D communication (Sec2D). Specifically, we first build a novel security model, in terms of the number of CPU cores, CPU frequency, and data size, for measuring the security workload on heterogeneous MDs. Then, we formulate the collaborative task offloading problem that minimizes the time-average delay and energy consumption of MDs while ensuring data security. In order to meet this goal, the Lyapunov optimization framework is applied to implement online decision-making. Two solutions, greedy approach and optimal approach, with different time complexities, are proposed to deal with the generated mixed-integer linear programming (M1LP) problem. The theoretical proofs demonstrate that Sec2D follows a (O(1/V), 0(V)] energy-delay tradeoff. Simulation results show that Sec2D can guarantee both data security and system stability in the collaborative D2D communication environment.
机译:设备到设备(D2D)通信技术用于建立移动设备(MDS)之间的直接链路,以降低通信延迟并增加底层无线网络上的网络容量。任务卸载的现有D2D方案专注于系统吞吐量,能耗和延迟而不考虑数据安全性。本文提出了一种安全和能量感知的协作任务卸载D2D通信(SEC2D)。具体而言,我们首先在CPU核心,CPU频率和数据大小的数量方面构建新的安全模型,用于测量异构MDS上的安全工作负载。然后,我们制定协作任务卸载问题,这最小化了MDS的时间平均延迟和能耗,同时确保数据安全性。为了满足这一目标,Lyapunov优化框架应用于实施在线决策。提出了两种解决方案,贪婪的方法和最佳方法,以不同的时间复杂地处理生成的混合整数线性编程(M1LP)问题。理论证据表明,Sec2D遵循A(O(1 / V),0(V))能量延迟概论。仿真结果表明,Sec2D可以保证协作D2D通信环境中的数据安全性和系统稳定性。

著录项

  • 来源
    《Future generation computer systems》 |2021年第5期|358-373|共16页
  • 作者单位

    School of Computer Science and Technology Hangzhou Dianzi University Hangzhou China;

    School of Computer Science and Technology Hangzhou Dianzi University Hangzhou China;

    School of Computer Science and Technology Hangzhou Dianzi University Hangzhou China School of Information Science and Engineering Hangzhou Normal University Hangzhou China;

    School of Computer Science and Technology Hangzhou Dianzi University Hangzhou China;

    State Key Laboratory for Novel Software Technology Software Institute Nanjing University Nanjing China;

    Artificial Intelligence and Information Systems Research Group School of Computing & Digital Technologies Teesside University Middlesbrough UK;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    D2D communication; Security modeling; Collaborative task offloading; Lyapunov optimization; Mixed-integer linear programming (MILP);

    机译:D2D沟通;安全建模;协同任务卸载;Lyapunov优化;混合整数线性编程(MILP);
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