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Dynamic Resource Management in Real-Time Wireless Networks

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Wireless Networks and Industrial IoT

Abstract

This chapter gives an overview on various dynamic resource management frameworks for handling network dynamics in real-time wireless networks (RTWNs). The designs of these frameworks were driven by the specific objectives of achieving real-time and reliable data delivery in RTWNs with diversified constraints on network resource, device computation capacity, etc. This chapter presents three representative dynamic resource management solutions: HD-PaS, RD-PaS, and FD-PaS as hybrid, reliable, and distributed dynamic packet scheduling frameworks, respectively. An implementation of FD-PaS on a real-time wireless network testbed is given at the end of this chapter to show its applicability in real-world RTWNs.

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Notes

  1. 1.

    In practice, RTWNs usually apply multichannel communication. For simplicity, in this chapter, we illustrate the resource management frameworks under a single channel assumption.

  2. 2.

    A system does not go to the rhythmic mode immediately after a disturbance is detected. It only enters the rhythmic mode (and Ï„ 0 enters the rhythmic state) after each device receives the broadcast packet at the start point t sp.

  3. 3.

    Upon detection of the external disturbance(s), specifications of the rhythmic task(s) are received from the controller node.

  4. 4.

    \({t_{ep}^u}\) is a user-specified parameter to bound the maximum allowed latency for handling the current rhythmic event.

  5. 5.

    No acknowledgment is provided for broadcast and multicast packets.

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Acknowledgements

The work reported herein is supported by the National Science Foundation under NSF Award IIP-1919229.

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Authors and Affiliations

  1. University of Notre Dame, Notre Dame, IN, USA

    Tianyu Zhang & Xiaobo Sharon Hu

  2. University of Connecticut, Storrs, CT, USA

    Tao Gong & Song Han

  3. Northeastern University, Shenyang, China

    Qingxu Deng

Authors
  1. Tianyu Zhang
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  2. Tao Gong
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  3. Xiaobo Sharon Hu
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  4. Qingxu Deng
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  5. Song Han
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Corresponding author

Correspondence to Song Han .

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Editors and Affiliations

  1. 6G Flagship, Center for Wireless Communications (CWC), University of Oulu, Oulu, Finland

    Nurul Huda Mahmood

  2. Corporate Research and Advanced Engineering, Robert Bosch GmbH (Germany), Stuttgart, Germany

    Nikolaj Marchenko

  3. Department of Information Systems and Tech., Mid Sweden University, Sundsvall, Västernorrlands Län, Sweden

    Mikael Gidlund

  4. Connectivity Section, Department of Electronic Systems, Aalborg University, Aalborg Øst, Denmark

    Petar Popovski

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Zhang, T., Gong, T., Hu, X.S., Deng, Q., Han, S. (2021). Dynamic Resource Management in Real-Time Wireless Networks. In: Mahmood, N.H., Marchenko, N., Gidlund, M., Popovski, P. (eds) Wireless Networks and Industrial IoT. Springer, Cham. https://doi.org/10.1007/978-3-030-51473-0_7

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  • DOI: https://doi.org/10.1007/978-3-030-51473-0_7

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  • Print ISBN: 978-3-030-51472-3

  • Online ISBN: 978-3-030-51473-0

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