The error rate analyze and parameter measurement on LoRa communication for health monitoring

Adi, Puput Dani Prasetyo and Wahyu, Yuyu (2023) The error rate analyze and parameter measurement on LoRa communication for health monitoring. Microprocessors and Microsystems, 98. p. 104820. ISSN 01419331

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Abstract

During LoRaWAN data transmission, the Bit Rate transmitted from the transmitter to the Receiver experiences attenuation from the object being passed, so Packet Loss (Bytes) may occur due to diffraction, scattering, and reflection in the LoRa data transmission process. LoRa data that has errors is researched and further developed with a formula and method to minimize data rate errors in LoRa communication. Analysis development lies in the gateway's ability to accommodate LoRa data from end nodes. This condition requires a development method of Adaptive Data Rate, which is helpful for Battery Power Saving or power consumption of sensor nodes, especially in data communication with LoRa servers, i.e., the uplink and downlink processes that are correct, regular, and on-time. We use pulse data in the existing case examples to monitor the patient's health status. This data is applied to elderly patients and patients from victims of natural disasters. The development is the use of extra small and comfortable LoRa for all patients in the hospital. One of the mechanism developments is Blind-ADR, which is used for unpredictable Mobile LoRa data transmission, e.g., Blind-ADR is intended to monitor the movement of the patient's changing position. This research also examines the effects of increasing the number of end-nodes that cause health data collisions and the mechanisms used to avoid collisions, including the Adaptive Data Rate.

Item Type: Article
Uncontrolled Keywords: Health monitoringLoRa networkLoRa transmission dataPower consumption; Battery power saving; LoRa communication; Blind-ADR; Adaptive data rate
Subjects: Health Resources > Data & Information Systems
Computers, Control & Information Theory > Control Systems & Control Theory
Depositing User: Saepul Mulyana
Date Deposited: 13 Nov 2025 06:58
Last Modified: 13 Nov 2025 06:58
URI: https://karya.brin.go.id/id/eprint/54904

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