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首页> 外文期刊>IEEE transactions on industrial informatics >A Novel Framework of Three-Hierarchical Offloading Optimization for MEC in Industrial IoT Networks
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A Novel Framework of Three-Hierarchical Offloading Optimization for MEC in Industrial IoT Networks

机译：工业物联网网络中MEC三个层次卸载优化的新框架

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摘要

In this article, we investigate a communication and computation problem for industrial Internet of Things (IoT) networks, where K relays can help accomplish the computation tasks with the assist of M computational access points. In industrial IoT networks, latency and energy consumption are two important metrics of interest to measure the system performance. To enhance the system performance, a three-hierarchical optimization framework is proposed to reduce the latency and energy consumption, which involves bandwidth allocation, offloading, and relay selection. Specifically, we first optimize the bandwidth allocation by presenting three schemes for the second-hop wireless relaying. We then optimize the computation offloading based on the discrete particle swarm optimization algorithm. We further present three relay selection criteria by taking into account the tradeoff between the system performance and implementation complexity. Simulation results are finally demonstrated to show the effectiveness of the proposed three-hierarchical optimization framework.
机译：在本文中，我们调查工业互联网（物联网）网络的通信和计算问题，其中K继电器可以通过M计算接入点的辅助来帮助实现计算任务。在工业IOT网络中，延迟和能耗是测量系统性能的两个重要指标。为了提高系统性能，提出了一个三个分层优化框架，以降低延迟和能量消耗，涉及带宽分配，卸载和中继选择。具体地，我们首先通过呈现用于第二跳无线中继的三个方案来优化带宽分配。然后，我们基于离散粒子群优化算法优化计算卸载。我们通过考虑到系统性能与实现复杂性之间的权衡，进一步提出了三个继电器选择标准。仿真结果最终展示了提出的三个层次优化框架的有效性。

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