Performance Analysis of IoT and Long-Range Radio-Based Sensor Node and Gateway Architecture for Solid Waste...

Area of Science:

• IoT and Wireless Communication
• Environmental Engineering
• Sensor Networks

Background:

• Long-Range (LoRa) communication is vital for IoT applications requiring extended range and low power consumption.
• Traditional waste management systems lack real-time data, leading to inefficiencies.
• LoRa's suitability for transmitting small data packets with minimal energy aligns with waste monitoring needs.

Purpose of the Study:

• To design and develop a customized sensor node and gateway architecture utilizing LoRa technology.
• To achieve minimal energy consumption for real-time monitoring of waste bin fill levels.
• To evaluate the performance and energy efficiency of the proposed LoRa-based system.

Main Methods:

• Development of a custom sensor node and gateway based on LoRa communication.
• Simulation of the proposed architecture using the Framework for LoRa (FLoRa) simulator.
• Evaluation of key LoRa parameters including data rate, time on air (ToA), sensitivity, link budget, and sensor node battery life.
• Real-time experimental validation with data transmission to a cloud server.

Main Results:

• The proposed LoRa architecture demonstrates minimal energy consumption for waste bin fill-level monitoring.
• Simulation results provide insights into the impact of fundamental LoRa parameters on system performance.
• Key performance metrics such as data rate, ToA, sensitivity, link budget, and battery life were successfully evaluated.
• A functional real-time setup confirmed the successful reception of sensor data on a cloud server.

Conclusions:

• The developed LoRa-based system offers an energy-efficient solution for smart solid waste management.
• The customized sensor nodes and gateways enable effective real-time monitoring of bin fill levels.
• The study validates the feasibility and effectiveness of LoRa technology in practical waste management applications.