Multipurpose Modular Wireless Sensor for Remote Monitoring and IoT Applications

Area of Science:

• Computer Science
• Electrical Engineering
• Internet of Things (IoT)

Background:

• Internet connectivity is crucial for diverse IoT applications, including environmental monitoring, healthcare, and smart manufacturing.
• Designing Wireless Sensor Nodes (WSn) is a time-consuming bottleneck in IoT application development.
• Existing WSn designs often lack modularity, hindering rapid deployment and customization.

Purpose of the Study:

• To develop a modular Wireless Sensor Node (MWSn) to streamline IoT application development.
• To reduce the complexity and time required for implementing WSn in IoT projects.
• To enable faster and easier deployment of IoT applications across various fields.

Main Methods:

• Designed a modular WSn (MWSn) comprising digital processing, wireless communication, and power supply subsystems.
• Reduced the WSn implementation process to the design of its modular sensing subsystem.
• Utilized versatile one- or two-wired communication protocols, such as I²C, for sensor module integration.

Main Results:

• The MWSn architecture simplifies WSn design and implementation.
• The modular approach significantly reduces development time for IoT applications.
• Demonstrated the efficiency and versatility of the MWSn through two IoT-based remote monitoring applications.

Conclusions:

• The proposed modular WSn (MWSn) effectively addresses the challenges in IoT application development.
• This modular design facilitates faster and easier implementation of IoT solutions.
• The MWSn is a versatile platform for diverse IoT applications, enhancing development efficiency.