Node MCU and IoT Centered Smart Logistics

Authors

  • Nikat Rajak Mulla
  • Kazi Kutubuddin Sayyad Liyakat

Keywords:

GPS, Humidity sensor, IoT, Node MCU, Sensors, Smart logistics

Abstract

Logistical operations, which comprise the organisation, management, and control of the movement of products, are extremely important to the functioning of global economies. Traditional logistics systems are plagued by a number of inefficiencies, including manual tracking, delays, and a lack of real-time information. These inefficiencies ultimately lead to an increase in expenses and cause damage to the environment. This sector has seen a transformation as a result of the internet of things (IoT), which enables connected devices to easily gather and analyse data. This revolution has brought about a change in the business. Much of the IoT applications revolve around the Node MCU. As a result of its low cost, ease of programming, and integrated Wi-Fi, it is favoured because it is ideal for implementing intelligent solutions in environments with limited resources. Other reasons for its popularity include its simplicity of programming. Within the scope of this study, the application of Node MCU in the construction of a smart logistics system is investigated, with a particular focus on the fundamental components, implementation strategies, and beneficial outcomes. By utilising the sensor integration, wireless connectivity, and data processing capabilities of the Node MCU, logistics operations have the potential to achieve real-time tracking, predictive maintenance, and efficient resource management. The talk focusses on the architecture of the system, as well as its benefits, which include reduced costs and more accuracy, as well as its downsides, which include concerns over security. We suggested that a system be developed that incorporates a GPS tracker, a weight sensor, as well as temperature and humidity sensors. Taking everything into consideration, this plan demonstrates how IoT solutions based on Node MCUs have the potential to transform conventional logistics into an environment that is more adaptable and data-driven, thereby paving the way for breakthroughs in environmentally responsible supply chains.

Published

2025-06-20

Issue

Section

Articles