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All Journal Setrum : Sistem Kendali-Tenaga-elektronika-telekomunikasi-komputer ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika TRANSISTOR Elektro dan Informatika Journal of Electrical Technology UMY JURNAL KAJIAN TEKNIK ELEKTRO JUTEI (Jurnal Terapan Teknologi Informasi) ABDIMAS SILIWANGI GERVASI: Jurnal Pengabdian kepada Masyarakat Jurnal Teknik Elektro dan Komputasi (ELKOM) Journal of Energy and Electrical Engineering (JEEE) E-JOINT (Electronica and Electrical Journal Of Innovation Technology) JITEL (Jurnal Ilmiah Telekomunikasi, Elektronika, dan Listrik Tenaga) EPSILON: Journal of Electrical Engineering and Information Technology International Journal of Advanced Science Computing and Engineering Journal of Computer Engineering, Electronics and Information Technology Gotong Royong Jurnal Pengabdian Siliwangi International Journal of Informatics and Computing Majalah Ilmiah Teknologi Elektro Jurnal Teknik Elektro
firmansyah maualana sugiartana nursuwars
Jurusan Informatika Universitas Siliwangi Tasikmalaya
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Adaptation in IoT-Fog Data Transmission: SLR and Future Perspectives on Dynamic Frequency Control Firmansyah Maulana Sugiartana Nursuwars; Linawati; Nyoman Putra Sastra; Dewa Made Wiharta; Aceng Sambas
Jurnal Teknik Elektro Vol. 17 No. 1 (2025): Jurnal Teknik Elektro
Publisher : LPPM Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jte.v17i1.30564

Abstract

The advancement of Internet of Things (IoT) and fog computing technologies has created significant opportunities for more efficient, faster, and proximity-based data management. However, IoT-Fog systems face considerable challenges related to device heterogeneity, traffic dynamics, and the complexity of network topologies that continuously change. This study conducts a Systematic Literature Review (SLR) of various research works covering dynamic scheduling, routing, context-aware data flow, offloading, and IoT-Fog systems without adaptive mechanisms. The findings indicate that most existing approaches still rely on relatively static topology assumptions, rendering them insufficiently adaptive to real-time changes in network conditions. One area identified as a research gap is dynamic frequency control, an adaptive mechanism capable of dynamically adjusting data transmission intensity based on network conditions. The main conclusion of this study emphasizes the necessity for developing adaptive systems that are topology-agnostic and supported by dynamic frequency control to maintain optimal performance even under significant topology changes. Such systems are anticipated to become a crucial foundation for future IoT-Fog applications, including smart cities, Industry 4.0, and intelligent healthcare services, which demand high reliability and low latency.
Co-Authors Abdul Chobir Aceng Sambas Aceng Sambas, Aceng Ade Sarah Ahmad Hamdan Aji Fauzi Pangestu Alauddin, Rifki Akmal Andhy Romdani, Andhy ANDI NAHRUL HAYAT, MOHAMMAD EXCEL Andri Ulus Rahayu Anshary , Muhammad Adi Khairul Aripin Aripin Aripin Aripin Asep Andang, Asep Dani Gilang Sujana Dewa Made Wiharta Edvin Priatna Enov Tikupasang Fahmi Fathurrohman Fajar Awaludin Fajar Nurohman Faridah, Linda Gilang Ramadhani Gunawan, Rohmat Gustaman, Rian Arie Ifkar Ushar Imam Taufiqurrahman Imam Taufiqurrahman Jamaluddin Laksana, Angga Linawati Mochammad Fadillah Putra Muhamad Taufik Hidayat Muhammad Arif Ramdani Muhammad Arif Ramdani Muhammad Faiz Dzaki Chanafi Neng Ika Kurniati Nurul Hiron Nurul Hiron, Nurul Nyoman Putra Sastra Permana, Prama Priyatna, Rendi Rendi Priyatna Reza Fragaria Audika Rianto Rianto Risnandar, Muhammad Aris Rohmat Gunawan Santosa, Putri Apriliani Tri Shofa, Rahmi Nur Shopa, Rahmi Nur Silviani, Veni Siti Ratnasari Stheven Erlangga Sanjaya Sulastri, Heni Suryanto, Suyanto Sutisna Sutisna Sutisna Sutisna Sutisna Usrah, Ifkar