Experimental Characterization of ESP-Mesh Performance for Resilient Medical IoT Monitoring Systems

Authors

  • Zulfikar Achyar Politeknik Negeri Lhokseumawe
  • Indrawati Computer and Network Engineering Technology, Faculty of Information and Computer Technology, Politeknik Negeri Lhokseumawe, Aceh, Indonesia
  • Ilham Safar Multimedia Engineering Technology, Faculty of Information and Computer Technology, Politeknik Negeri Lhokseumawe, Aceh, Indonesia
  • Dewi Wahyuni Information Systems, Faculty of Technology, Universitas Battuta, Medan, Indonesia

DOI:

10.33395/sinkron.v10i1.15817

Keywords:

ESP-Mesh; Medical Internet of Things; Self-Healing Networks; Performance Characterization; Network Resilience; MQTT

Abstract

The reliability of medical Internet of Things (IoT) systems is critically dependent on network resilience, particularly in indoor hospital environments where conventional Wi-Fi infrastructures are vulnerable to single points of failure. Although ESP-Mesh has emerged as a promising self-healing communication protocol, its performance characteristics in medical IoT monitoring contexts remain insufficiently explored. This study aims to experimentally characterize the performance of ESP-Mesh networks for resilient medical IoT monitoring systems by analyzing multi-hop latency behavior, signal degradation, and communication stability under indoor medical-like conditions. A multi-parameter monitoring prototype integrating infusion volume, drip rate, and heart rate sensors was deployed as an experimental platform. Network performance was evaluated through controlled measurements of RSSI, end-to-end latency, and self-healing behavior, while MQTT was employed to assess cloud-based transmission efficiency. The results demonstrate that ESP-Mesh maintains stable self-healing communication with an average multi-hop latency of 0.714 s across distances up to 5 m, with latency increasing consistently as RSSI decreases. MQTT cloud transmission achieved a lower average latency of 0.247 s with zero packet loss, confirming its suitability for lightweight medical data delivery. Sensor evaluation revealed high accuracy for infusion volume monitoring (95.42%), while heart rate and drip rate measurements exhibited lower reliability due to signal interference and environmental sensitivity. These findings provide empirical insights into the performance limits and trade-offs of ESP-Mesh networks in medical IoT environments. The study confirms the feasibility of ESP-Mesh as a resilient communication backbone for medical monitoring, while highlighting the necessity of advanced signal processing to achieve clinical-grade sensing reliability.

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How to Cite

Achyar, Z. ., Indrawati, I., Safar, I., & Wahyuni, D. . (2026). Experimental Characterization of ESP-Mesh Performance for Resilient Medical IoT Monitoring Systems. Sinkron : Jurnal Dan Penelitian Teknik Informatika, 10(1), 670-690. https://doi.org/10.33395/sinkron.v10i1.15817

Issue

Vol. 10 No. 1 (2026): Article Research January 2026

Section

Articles

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Copyright (c) 2026 Zulfikar Achyar, Indrawati, Ilham Safar, Dewi Wahyuni

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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

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