Mulla Nikat,
Kazi Kutubuddin Sayyad Liyakat,
- Student, Department of Electronics and Telecommunication Engineering, Brahmdevdada Mane Institute of Technology, Solapur, Maharashtra, India
- Professor & Head, Department of Electronics and Telecommunication Engineering, Brahmdevdada Mane Institute of Technology, Solapur, Maharashtra, India
Abstract
Logistics plays a key role in global economies, encompassing the planning, implementation, and control of goods movement. Traditional logistics systems often suffer from inefficiencies, such as manual tracking, delays, and lack of real-time visibility, leading to increased costs and environmental waste. The advent of IoT has revolutionized this sector by enabling interconnected devices to gather and argument data seamlessly. At the heart of many IoT applications is Node MCU. It is favored for its low cost, ease of programming, and built-in Wi-Fi capabilities, making it ideal for deploying smart solutions in resource-constrained environments. This paper delves into how Node MCU can be utilized to build a smart logistics system, focusing on key components, implementation strategies, and practical outcomes. By leveraging Node MCU’s capabilities for sensor integration, wireless connectivity, and data processing, logistics operations can achieve real-time tracking, prognostic maintenance, and effectual resources management. The discussion highlights the system’s architecture, benefits such as cost reduction and improved accuracy, and challenges like security concerns. We proposed a system using Temperature and Humidity sensor, GPS tracker, and Weight sensor. Overall, this approach demonstrates how Node MCU-based IoT solutions can transform traditional logistics into more agile and data-driven ecosystem, paving the way for sustainable supply chain innovations.
Keywords: Smart logistics, node MCU, IoT, sensors, humidity sensor, GPS
[This article belongs to Recent Trends in Sensor Research & Technology ]
Mulla Nikat, Kazi Kutubuddin Sayyad Liyakat. IoT and Node MCU based Smart Logistics. Recent Trends in Sensor Research & Technology. 2025; 12(02):38-50.
Mulla Nikat, Kazi Kutubuddin Sayyad Liyakat. IoT and Node MCU based Smart Logistics. Recent Trends in Sensor Research & Technology. 2025; 12(02):38-50. Available from: https://journals.stmjournals.com/rtsrt/article=2025/view=214892
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Recent Trends in Sensor Research & Technology
| Volume | 12 |
| Issue | 02 |
| Received | 13/05/2025 |
| Accepted | 16/05/2025 |
| Published | 26/06/2025 |
| Publication Time | 44 Days |
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