HARP: Hierarchical Resource Partitioning in Dynamic Industrial Wireless Networks
HARP: Hierarchical Resource Partitioning in Dynamic Industrial Wireless Networks
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DOI：
10.1109/icdcs54860.2022.00103
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发表时间：
2022-07
期刊：
影响因子：
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通讯作者：
Jiachen Wang;Tianyu Zhang;Dawei Shen;Xiao Hu;Song Han
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文献类型：
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作者：
Jiachen Wang;Tianyu Zhang;Dawei Shen;Xiao Hu;Song Han
工业无线网络（IWN）正越来越多地部署在现场，作为各种工业物联网（IIoT）应用的网络结构。由于IWN通常在嘈杂和恶劣的环境中运行，频繁发生的网络动态给IWN资源管理带来了巨大的挑战，特别是当网络扩展时。现有的集中式和分布式网络管理解决方案要么遭受大的通信开销和时间延迟，或者引入不必要地降低系统性能的调度冲突。为了解决这些问题，这项工作提出了一种新的层次资源划分框架（HARP），提供动态资源管理的IWNs。通过分层划分和分配网络中的链路的资源，HARP使分布式无冲突的资源分配。HARP能够在网络动态的情况下快速调整分区，并具有适度的通信开销。HARP的有效性进行了验证和评估，通过仿真研究和50节点的多信道多跳6TiSCH网络的测试床实验。
Industrial wireless networks (IWNs) are being increasingly deployed in the field to serve as the network fabrics for various industrial Internet-of-Things (IIoT) applications. Given that IWNs typically operate in noisy and harsh environments, frequently occurring network dynamics post huge challenges for IWN resource management especially when the network scales up. Existing centralized and distributed network management solutions either suffer from large communication overhead and time delay, or introduce schedule collisions which unnecessarily degrade the system performance. To address these problems, this work proposes a novel HierArchical Resource Partitioning framework (HARP), to provide dynamic resource management in IWNs. By hierarchically partitioning and allocating resources for the links in the network, HARP enables distributed collision-free resource allocation. HARP enables rapid adjustment of the partitions in the presence of network dynamics with modest communication overhead. The effectiveness of HARP is validated and evaluated through both simulation studies and testbed experiments on a 50-node multi-channel multi-hop 6TiSCH network.