HARP: Hierarchical Resource Partitioning in Dynamic Industrial Wireless Networks

Jiachen Wang; Tianyu Zhang; Dawei Shen; Xiaobo Sharon Hu; Song Han

doi:10.1109/ICDCS54860.2022.00103

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Conference proceeding

HARP: Hierarchical Resource Partitioning in Dynamic Industrial Wireless Networks

Jiachen Wang, Tianyu Zhang, Dawei Shen, Xiaobo Sharon Hu and Song Han

2022 IEEE 42nd International Conference on Distributed Computing Systems (ICDCS), Vol.2022-, pp.1029-1039

07/2022

DOI: 10.1109/ICDCS54860.2022.00103

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Abstract

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.

Dynamic scheduling

Fabrics

hierarchical resource partitioning and reconfiguration

Industrial wireless networks

network dynamics

Resource management

Schedules

Spread spectrum communication

System performance

Wireless networks

Details

Title: Subtitle: HARP: Hierarchical Resource Partitioning in Dynamic Industrial Wireless Networks
Creators: Jiachen Wang - University of Connecticut
Tianyu Zhang - University of Connecticut
Dawei Shen - Northeastern University
Xiaobo Sharon Hu - University of Notre Dame
Song Han - University of Connecticut
Resource Type: Conference proceeding
Publication Details: 2022 IEEE 42nd International Conference on Distributed Computing Systems (ICDCS), Vol.2022-, pp.1029-1039
Publisher: IEEE
DOI: 10.1109/ICDCS54860.2022.00103
ISSN: 1063-6927
eISSN: 2575-8411
Language: English
Date published: 07/2022
Academic Unit: Computer Science
Record Identifier: 9984696858302771

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