Sep 2026· Journal of Electrical and Intelligent Systems· Vol 1, pp. 33-40· 0 citations· 22 references
Abstract
Boundary markers are vulnerable to displacement and manipulation, while conventional inspection methods are unable to provide real-time monitoring. This study proposes an Internet of Things (IoT)-based Smart Pole system integrating a uBlox NEO-M8N GNSS module, HMC5883L magnetometer, LoRa EBYTE E32 communication, SIM7600G-H cellular gateway, and a solar-powered subsystem for autonomous boundary marker monitoring. System performance was evaluated through sensor accuracy, communication reliability, and integrated testing. Results showed that the GPS module achieved an average positioning error of 1.60 m (89.33% accuracy), while the HMC5883L achieved an average orientation error of 3.11%, with a maximum MAE of 1.70° and RMSE of 2.05°. The LoRa EBYTE E32 achieved an average PDR of 97.75% with 2.25% packet loss, whereas the SIM7600G-H gateway achieved a 97.0% success rate with 3.0% communication error. The solar subsystem, consisting of a 30 W photovoltaic panel and a 12 V 7.5 Ah SLA battery, provided stable autonomous operation. Integrated testing confirmed reliable detection of displacement and orientation changes, real-time dashboard visualization, and Telegram alert delivery. These results demonstrate that the proposed Smart Pole is a reliable and energy-autonomous solution for real-time plantation boundary marker monitoring.
Bukavu (DRC) experiences significant waste management challenges, exacerbated by rapid urbanization. The city produces approximately 898 tons of waste daily. Yet only 7% is collected through an inefficient system, increasing sanitation and environmental risks. This study designs and validates a comprehensive IoT networ...
Olivier Mugisho Mugaruka, Jules Raymond Kala, Jérémie Ndikumagenge et al.· Discover Internet of Things· 0 citations
The main problem in the PAMSIMAS water management system is the continued use of manual recording methods, which may lead to recording errors, delayed information, and the absence of a real-time monitoring system. This study aims to design and develop an Internet of Things (IoT)-based water usage monitoring system usin...
The advancement of Internet of Things (IoT) technology has enabled the automation of greenhouse management to improve agricultural productivity. However, conventional greenhouse systems in Indonesia still rely on manual monitoring, making it difficult to detect changes in environmental conditions promptly. This study d...
M. Zayyan, A. Ahsan, Grezio Arifiyan Primajaya et al.· Journal of Advanced Vocation...· 0 citations
Manual monitoring of household hydroponic systems is a critical limitation for users unable to be consistently present at the site. Manual monitoring cannot continuously detect fluctuations in Total Dissolved Solids (TDS) and growing medium moisture, risking physiological damage to lettuce and pak choi. This study desi...
Olantianus Bebi Maxrin, Ryan Putra Laksana, Hani Dewi Ariessanti et al.· Jurnal Teknologi Informatika...· 0 citations
This proposed IoT-based traffic light monitoring system improves the efficiency and safety of traffic management by automatically detecting and reporting faults and enhancing the quality, speed and reliability of traffic infrastructure monitoring, thereby supporting road safety.
Background: The component cost was GH₵980, equivalent to approximately US$84.12 at the exchange rate reported during the project. Objective: This study designed and implemented a GSM-enabled smart water metering system that integrates an ESP32 microcontroller, YF-S201C flow sensor, MPU6050 gyroscope, SIM800L GSM module...
Donkor Maxwell, Isaac Kofi Mensah Prah, Eghan Andrew et al.· African Electrical Engineeri...· 0 citations
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