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    Edge Computing in Industry 4.0: Challenges, Opportunities, and Future Directions

    A Comprehensive Survey of Edge Computing Technologies

    Penulis: Prof. Dr. Mada Rahman, S.Kom., M.T., Dr. Michael Schmidt, Ph.D., Dr. Yuki Tanaka, Ph.D.

    Penulis Korespondensi: Prof. Dr. Mada Rahman, S.Kom., M.T.

    Jurnal: IEEE Access

    Penerbit: IEEE

    Tanggal Publikasi: 28/02/2024

    Volume: 12

    Halaman: 23456-23489

    DOI: 10.1109/ACCESS.2024.3367890

    Scopus Indexed Web of Science DOAJ
    Impact Factor: 3.476 • Quartile: Q1 • H-Index: 89 • Sitasi: 67 • Views: 6

    Abstrak

    Abstract

    This comprehensive survey examines the role of edge computing in Industry 4.0 transformation. We systematically analyze over 200 research papers published between 2020-2024 to identify key challenges, opportunities, and future research directions.

    Survey Scope:

    The survey covers six main areas: (1) Edge computing architectures, (2) Real-time processing capabilities, (3) Security and privacy concerns, (4) Integration with existing systems, (5) Scalability issues, and (6) Economic implications.

    Key Insights:

    • Edge computing reduces latency by 80% in industrial applications
    • Data processing costs decrease by 60% with edge deployment
    • Real-time decision making improves by 45% in smart factories
    • Security remains the primary concern (cited in 85% of studies)

    Future Research Directions:

    We identify 12 critical research areas including AI-driven edge orchestration, quantum-secure edge communications, and sustainable edge infrastructure for green manufacturing.

    Kata Kunci

    edge computing, Industry 4.0, IoT, fog computing, smart manufacturing

    Bidang Subjek

    Computer Science

    Informasi Tambahan

    Jurnal:
    Lihat Jurnal

    Area Penelitian:

    Edge Computing, Industry 4.0, IoT, Fog Computing

    Kategori: Jurnal Internasional

    Diterbitkan: 29/12/2025 01:22:49

    Jurnal Terkait
    Cyber-Physical Systems in Manufacturing: Integration Challenges and Solutions
    Prof. Dr. Mada Rahman, S.Kom., M.T., Dr. Michael Schmidt, Ph.D., Dr. Rama Pratama, S.Kom., M.T. • 08/10/2024
    The Impact of Artificial Intelligence on Educational Assessment: A Meta-Analysis
    Prof. Dr. Mada Rahman, S.Kom., M.T., Dr. Sarah Johnson, Ph.D., Dr. Ahmad Wijaya, S.T., M.T. • 03/09/2024
    Blockchain Technology in Financial Services: Opportunities and Challenges
    Prof. Dr. Mada Rahman, S.Kom., M.T., Dr. Rama Pratama, S.Kom., M.T., Dr. Yuki Tanaka, Ph.D. • 18/08/2024
    Security Frameworks for Cloud Computing: A Comparative Analysis
    Prof. Dr. Mada Rahman, S.Kom., M.T., Dr. Budi Santoso, S.T., M.Kom., Dr. Michael Schmidt, Ph.D. • 12/07/2024
    Machine Learning Applications in Healthcare: Predictive Models for Disease Diagnosis
    Prof. Dr. Mada Rahman, S.Kom., M.T., Dr. Siti Nurhaliza, S.T., M.Kom., Dr. Yuki Tanaka, Ph.D. • 05/06/2024

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