IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v11y2023i21p4538-d1273845.html
   My bibliography  Save this article

A Resource Allocation Scheme for Packet Delay Minimization in Multi-Tier Cellular-Based IoT Networks

Author

Listed:
  • Jin Li

    (School of Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China
    Key Laboratory of Industrial Internet and Big Data, China National Light Industry, Beijing Technology and Business University, Beijing 100048, China)

  • Wenyang Guan

    (School of Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China
    Key Laboratory of Industrial Internet and Big Data, China National Light Industry, Beijing Technology and Business University, Beijing 100048, China)

  • Zuoyin Tang

    (School of Computer Science and Digital Technologies, Aston University, Birmingham B4 7ET, UK)

Abstract

With advances in Internet of Things (IoT) technologies, billions of devices are becoming connected, which can result in the unprecedented sensing and control of the physical environments. IoT devices have diverse quality of service (QoS) requirements, including data rate, latency, reliability, and energy consumption. Meeting the diverse QoS requirements presents great challenges to existing fifth-generation (5G) cellular networks, especially in unprecedented scenarios in 5G networks, such as connected vehicle networks, where strict data packet latency may be required. The IoT devices with these scenarios have higher requirements on the packet latency in networking, which is essential to the utilization of 5G networks. In this paper, we propose a multi-tier cellular-based IoT network to address this challenge, with a particular focus on meeting application latency requirements. In the multi-tier network, access points (APs) can relay and forward packets from IoT devices or other APs, which can support higher data rates with multi-hops between IoT devices and cellular base stations. However, as multiple-hop relaying may cause additional delay, which is crucial to delay-sensitive applications, we develop new schemes to mitigate the adverse impact. Firstly, we design a traffic-prioritization scheduling scheme to classify packets with different priorities in each AP based on the age of information (AoI). Then, we design different channel-access protocols for the transmission of packets according to their priorities to ensure the QoS in networking and the effective utilization of the limited network resources. A queuing-theory-based theoretical model is proposed to analyze the packet delay for each type of packet at each tier of the multi-tier IoT networks. An optimal algorithm for the distribution of spectrum and power resources is developed to reduce the overall packet delay in a multi-tier way. The numerical results achieved in a two-tier cellular-based IoT network show that the target packet delay for delay-sensitive applications can be achieved without a large cost in terms of traffic fairness.

Suggested Citation

  • Jin Li & Wenyang Guan & Zuoyin Tang, 2023. "A Resource Allocation Scheme for Packet Delay Minimization in Multi-Tier Cellular-Based IoT Networks," Mathematics, MDPI, vol. 11(21), pages 1-18, November.
  • Handle: RePEc:gam:jmathe:v:11:y:2023:i:21:p:4538-:d:1273845
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/11/21/4538/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/11/21/4538/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Prabhu Ramamoorthy & Sumaya Sanober & Luca Di Nunzio & Gian Carlo Cardarilli, 2023. "Sustainable Power Consumption for Variance-Based Integration Model in Cellular 6G-IoT System," Sustainability, MDPI, vol. 15(17), pages 1-22, August.
    2. Tran Van Tung & To Truong An & Byung Moo Lee, 2022. "Joint Resource and Trajectory Optimization for Energy Efficiency Maximization in UAV-Based Networks," Mathematics, MDPI, vol. 10(20), pages 1-17, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mohammad Arif & Wooseong Kim, 2023. "Analysis of Fluctuating Antenna Beamwidth in UAV-Assisted Cellular Networks," Mathematics, MDPI, vol. 11(22), pages 1-24, November.
    2. Xin Zhang & Yiyan Cao, 2022. "Memetic Algorithm with Isomorphic Transcoding for UAV Deployment Optimization in Energy-Efficient AIoT Data Collection," Mathematics, MDPI, vol. 10(24), pages 1-18, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:11:y:2023:i:21:p:4538-:d:1273845. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.