An Optimal 5G MEC System Deployment Approach for Smart Construction Sites
Shi-Yu Zhang, Zhen-Yin Annie Chen, Chun-Cheng Lin
AI summary
70% confidenceThe paper proposes a mathematical model for 5G MEC deployment that addresses installation, connectivity, and energy consumption, and solves it using a hybrid algorithm combining SHS and VNS.
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- System
- MEC
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Abstract
With the rapid development of smart construction, the proliferation of sensors and smart devices on construction sites has introduced significant challenges in data processing and communication. Conventional cloud computing struggles to handle the real-time demands of construction data, and existing MEC deployment methods often neglect energy efficiency and the complexities of multi-story sites. This work proposes a mathematical model for 5G MEC deployment, addressing installation, connectivity, and energy consumption, and solves it using a hybrid algorithm combining simplified harmony search (SHS) and variable neighborhood search (VNS). By leveraging SHS for global exploration and VNS for efficient local optimization, the approach effectively tackles the NP-hard problem of 5G MEC server and base station placement. Experimental results on real-world construction scenarios validate its superiority in computational efficiency, energy savings, and cost reduction, establishing it as a viable solution for optimizing 5G MEC deployment in smart construction sites.
Keywords
Identifiers
- Journal
- 2025 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)
- Year
- 2025