REDUCING LATENCY IN 5G-POWERED INDUSTRIAL IOT THROUGH EDGE INTELLIGENCE AND NETWORK SLICING
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The deployment of 5G in Industrial Internet of Things (IIoT) environments offers unprecedented opportunities for automation and real-time control. However, ultra-low latency remains a core requirement that centralized cloud architectures often fail to meet. This study investigates how latency in IIoT networks can be reduced by combining edge intelligence and network slicing. Using a simulated smart factory environment, the integration of local AI processing with dynamically allocated network slices shows a latency reduction of up to 45% compared to cloud-based systems. These results provide a scalable model for latency-sensitive IIoT applications in manufacturing, energy, and logistics.
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1.3GPP. (2024). 5G system architecture and services (3GPP TS 23.501). 3rd Generation Partnership Project (3GPP). Retrieved from https://www.3gpp.org
2.Zhang, Y., Liu, X., & Kim, J. (2024). Edge AI for industrial automation in 5G networks. IEEE Internet of Things Journal, 11(2), 1124–1136. https://doi.org/10.1109/JIOT.2023.1234567
3.Li, H., & Tan, W. (2023). Adaptive network slicing for industrial applications in 5G. Computer Networks, 238, 109839. https://doi.org/10.1016/j.comnet.2023.109839
4.Ericsson. (2023). 5G and edge computing for smart industry. Ericsson White Paper. https://www.ericsson.com/en/reports-and-papers/white-papers
5.ITU-T. (2023). Latency and reliability requirements for industrial communication networks (Recommendation ITU-T Y.3102). International Telecommunication Union. https://www.itu.int
6.Cisco. (2024). Next-generation networking for smart manufacturing: 5G and beyond. Cisco Industry Reports. https://www.cisco.com
7.ITU. (2024). The role of 5G in the digital transformation of industry. ITU-T Technical Report. https://www.itu.int
8.Xu, T., & Zhao, Y. (2022). Network optimization using AI in URLLC scenarios. IEEE Transactions on Network and Service Management, 19(4), 678–691. https://doi.org/10.1109/TNSM.2022.3147892