Sustainable Edge Node Computing Deployments in Distributed Manufacturing Systems

Goudarzi, S.; Soleymani, S. A.; Anisi, M. H.; Jindal, A.; Dinmohammadi, F.; Xiao, Pei

Abstract

The advancement of mobile internet technology has created opportunities for integrating the Industrial Internet of Things (IIoT) and edge computing in smart manufacturing. These sustainable technologies enable intelligent devices to achieve high-performance computing with minimal latency. This paper introduces a novel approach to deploy edge computing nodes in smart manufacturing environments at a low cost. However, the intricate interactions among network sensors, equipment, service levels, and network topologies in smart manufacturing systems pose challenges to node deployment. To address this, the proposed sustainable game theory method identifies the optimal edge computing node for deployment to attain the desired outcome. Additionally, the standard design of Software Defined Network (SDN) in conjunction with edge computing serves as forwarding switches to enhance overall computing services. Simulations demonstrate the effectiveness of this approach in reducing network delay and deployment costs associated with computing resources. Given the significance of sustainability, cost efficiency plays a critical role in establishing resilient edge networks. Our numerical and simulation results validate that the proposed scheme surpasses existing techniques like shortest estimated latency first (SELF), shortest estimated buffer first (SEBF), and random deployment (RD) in minimizing the total cost of deploying edge nodes, network delay, packet loss, and energy consumption.

Citation

Goudarzi, S., Soleymani, S. A., Anisi, M. H., Jindal, A., Dinmohammadi, F., & Xiao, P. (2024). Sustainable Edge Node Computing Deployments in Distributed Manufacturing Systems. IEEE Transactions on Consumer Electronics, 70(1), 1471-1481. https://doi.org/10.1109/tce.2023.3328949

• Journal Article Type: Article
• Acceptance Date: Oct 16, 2023
• Online Publication Date: Oct 31, 2023
• Publication Date: 2024-02
• Deposit Date: Nov 25, 2023
• Publicly Available Date: Nov 27, 2023
• Journal: IEEE Transactions on Consumer Electronics
• Print ISSN: 0098-3063
• Electronic ISSN: 1558-4127
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• Volume: 70
• Issue: 1
• Pages: 1471-1481
• DOI: https://doi.org/10.1109/tce.2023.3328949
• Public URL: https://durham-repository.worktribe.com/output/1952140