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Journal : Paradigma

Efficient Image Transmission for Autonomous Systems Using Residual Dense Feature Networks Over LoRa Networks Praptawilaga, Muhamad Fadly Rizqy; Suranegara, Galura Muhammad; Satyawan, Arief Suryadi
Paradigma - Jurnal Komputer dan Informatika Vol. 27 No. 1 (2025): March 2025 Period
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/p.v27i1.7584

Abstract

Autonomous systems face challenges in transmitting high-quality images over bandwidth-constrained networks like LoRa, which operates at data rates of 0.3–50 kbps. This study proposes the Residual Dense Feature Network (RDF Net), a super-resolution model designed to optimize image transmission within the constraints of LoRa networks. By leveraging Contrast-Aware Channel Attention (CCA), Enhanced Spatial Attention (ESA), Blueprint Separable Convolution (BSConv), and a progressive approach, RDF Net achieves 20x upscaling, enabling low-resolution images (40x40 pixels) to be reconstructed into high-resolution outputs (800x800 pixels) on a central server. Experimental evaluations demonstrate that Model-4, combining CCA and ESA, delivers state-of-the-art perceptual quality and structural fidelity, while Model-3, using ESA, offers a computationally efficient alternative for resource-constrained scenarios. Simulations of LoRa’s bandwidth limitations reveal that transmitting a single 40x40 image requires approximately 0.208–0.56 seconds at a data rate of 50 kbps. While this demonstrates the feasibility of near real-time communication, the trade-off between latency and visual fidelity remains a critical consideration, particularly for latency-sensitive applications. These findings underscore RDF Net’s potential to address the challenges of high-quality visual communication in bandwidth-constrained environments, paving the way for enhanced autonomous system applications. Further optimization, including adaptive compression strategies, and testing on actual LoRa hardware are recommended to validate its performance in real-world scenarios and explore its applicability to diverse autonomous systems.
Co-Authors A.A. Ketut Agung Cahyawan W Abd. Rasyid Syamsuri Afina Carmelya, Anindya Agnesia, Gisella Agustin, Sarah Ahmad Fauzi Ahmad Fauzi Ash Shiddiq, Reza Nurfaudzan Avia Aulia Faridah, Tsabitah Basuki, Akbari Indra Dani Prasetyo Adi, Puput Dewi Dewi, Tarisa Citra Dianti, Palda Puspita Diky Zakaria Dinata, Hane Yorda Dwi Wahyu Lestariningsih Dwitami, Ghalda Azzahra Elysa Nensy Irawan Endah Setyowati Endah Setyowati Fadhila, Esa Noer Fadillah, Khoerunnisa Nur Faudzan, Muhammad Iqbal Fauzi Ahmad Muda Fauzi, Sadam Fauziyah Rhaudhatul Jannah Fujiyanti, Vina Gumelar, Ega Restu Hadi Putri, Dewi Indriati Hafiyyan Hamdani, Nizar Alam Helfy Susilawati Ichwan Ichwan Nul Ichsan Istiqomah, Mutia Jamilah, Nur Asy-Syifa Jannah, Fauziyah Rhaudhatul Jayadinata, Asep Kurnia Kheqal, Abdul Laili, Adisty Nurrahmah Larasati, Sifa Liptia Venica Maranatha, Jojor Renta Meiliya Cahya Yustina Mirza Etnisa Haqiqi, Mokhamamad Muhammad Gani Baihaqi Darussalam Muhammad Husni Muttaqin Nikawanti, Gia Paramaputra, Arya Pandya Pebriyanti, Cahyani Perkasa, Aldewo Dillon Praptawilaga, Muhamad Fadly Rizqy Pratama, Hafiyyan Putra Pratama, Herdi Rizky Putri, Adhwa Alifia Putri, Chairunisa Rahma Putri, Nova Nurul Rahman, Fadhila Dwi Restyasari, Nissa Reza Nurfaudzan Ashsiddiq Sanada, Pratiwi Satyawan, Arief Suryadi Subagja, Banda Suprih Widodo, Suprih Suryadi Satyawan, Arief Syaifullah, Muhammad Wildan Syifaul Fuada Ulfa, Husnul Uli Sitinjak, Domma Vormes Gema Merdeka winda pratiwi Yovanka, Diva Nuranty Yunita Sari Zaelani, Cahya