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All Journal Edu Komputika Journal JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Jurnal Mantik Jurnal Muara Sains, Teknologi, Kedokteran dan Ilmu Kesehatan Jurnal Bakti Masyarakat Indonesia jurnal syntax admiration Journal of Telecommunication, Electronics and Control Engineering (JTECE) Jurnal Abdi Masyarakat Indonesia Jurnal Mandiri IT Jurnal Penyuuhan dan Pemberdayaan Masyarakat (JPPM) LEBAH Electron: Jurnal Ilmiah Teknik Elektro Prosiding Seminar Nasional Unimus Emitor: Jurnal Teknik Elektro Nemui Nyimah
Achmad Zuchriadi
Universitas Pembangunan Nasional Veteran Jakarta
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Module-level power consumption analysis of ESP32 wroom and ESP32 dfrobot under normal and deep sleep operation Zuchriadi, Achmad; Ginting, Sargi; Angraeni, Silvia; Widiyanto, Didit
Jurnal Mantik Vol. 9 No. 4 (2026): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v9i4.6986

Abstract

Energy efficiency is a critical requirement for battery-powered Internet of Things (IoT) systems, particularly those operating under duty-cycled conditions. Among widely adopted microcontroller platforms, ESP32 modules are extensively used due to their integrated connectivity and low-power features. In practice, ESP32 WROOM is commonly deployed because of its affordability and availability, while alternative modules such as ESP32 DFRobot are claimed to offer superior low-power performance. However, quantitative experimental comparisons at the module level remain limited. This study presents a controlled experimental evaluation of power consumption characteristics of ESP32 WROOM and ESP32 DFRobot modules operating in normal mode and deep sleep mode under realistic agricultural IoT workloads. Both modules were integrated with multiple environmental and soil sensors and LoRa communication, using identical hardware configurations, firmware logic, and measurement procedures. Power consumption was measured using a dual digital multimeter setup, with each operating condition evaluated over 50 repeated trials. The results show that both modules exhibit comparable power consumption during normal mode operation. In contrast, significant differences emerge during deep sleep mode. ESP32 WROOM consumes 36.907 mW in deep sleep, while ESP32 DFRobot consumes only 0.317 mW. Quantitative analysis indicates that ESP32 DFRobot achieves a deep sleep power efficiency improvement of approximately 99.14% relative to ESP32 WROOM. These findings demonstrate that module-level hardware design plays a decisive role in ultra-low-power performance and provide empirical guidance for selecting ESP32 modules in duty-cycled IoT deployments with significant implications for battery lifetime.
Co-Authors Ade Fikri Fauzi Adryan, Raka Akbar Ayub, Fakhri Allsay Kitsash Addifisyukha Cintra Andhika Octa Indarso Angraeni, Silvia Annastya Bagas Dewantara Arifudin Lukmana, Muhammad Astuti, Miguna Ayu Mika Sherila Bambang Sudjasta Brajamusti, Jati Kinsela Budhi Martana Damora Rhakasywi Darmawan, Mutiara Didit Widiyanto Ekamila, Teris Fajar Rahayu Farha, Auditya Ferdyanto Ferdyanto Ferdyanto, Ferdyanto Fiora Ladesvita Fitri Wahyuni Ginting, Sargi Henry Binsar Hamonangan Sitorus Hollanda Arief Kusum Hollanda Kusuma Irga Irga Irga Irga James Julian Jati Kinsela Brajamusti Jessica Fajrian Krisnawati, Luh MARTINI, NI PUTU DEVIRA AYU Mohammad Rachman Waluyo Muchamad Oktaviandri Muhamad Alif Razi Muhamad Alif Razi Muhammad Alif Razi Muhammad Arifudin Lukmana Muhammad Aris Akbar Mutiara Putri R Darmawan Nurfitri Bustamam RAHAYU, FAJAR Raihan, Muhammad Ihsanul Ramadhoni Reda Rizal Rosali Sembiring Sigit Pradana Silvia Anggraeni Silvia Anggraeni Sitorus, Henri BH Teris Ekamila Tonny Suhendra Tua, Lomo Mula Wahyudyan, Dzidan Wiladnurrizqi Widyanto, Didit Yosy Rahmawati Yuliana Dewi