Harnessing ZigBee Networks and Advanced Routing for Immediate UV Data Collection and Transfer

Authors

  • Hua Ni Institute of Metrology Inspection, Shanghai Institute of Quality Inspection and Technical Research, 900 Jiangyue Rd, Shanghai 201114, China Author
  • Jinting Xu Institute of Metrology Inspection, Shanghai Institute of Quality Inspection and Technical Research, 900 Jiangyue Rd, Shanghai 201114, China Author
  • Zhangfeng Ruan Institute of Metrology Inspection, Shanghai Institute of Quality Inspection and Technical Research, 900 Jiangyue Rd, Shanghai 201114, China Author

DOI:

https://doi.org/10.52152/1828/7848

Keywords:

Networking technology; ZigBee network; GPRS module, Remote transmission

Abstract

The demand for real-time and efficient Ultraviolet (UV) monitoring has intensified in order to safeguard public health and maintain environmental stability. Therefore, this article proposes a remote real-time UV monitoring and transmission system by integrating ZigBee and GPRS technologies. UV data is collected using UVM-30A sensors, transmitted through a ZigBee network (via the CC2530 module) to a coordinator, and subsequently sent to a host computer using a SIM800 GPRS module for continuous monitoring.

The main findings are as follows: An ant colony particle swarm optimization (ACO+PSO) algorithm effectively enhances data transmission performance in large-scale networks. In mesh topologies with more than 100 nodes, the ACO+PSO approach ensures low transmission delay even under high traffic loads. For smaller networks, AODVjr serves as a more cost-effective routing protocol. Due to ZigBee’s short-range nature, maintaining appropriate transmission distances is essential for preserving data integrity. Beyond ensuring the effective communication range, it is also necessary to select suitable packet transmission intervals. Experimental results show that longer intervals between data packets reduce the packet loss rate, whereas shorter intervals increase losses.

The integration of ZigBee and GPRS enables reliable and efficient real-time UV monitoring, with accurate data successfully received by the host computer, thereby validating the system’s precision and robustness. This real-time monitoring solution not only reduces the manpower and material resources required for UV data collection but also contributes meaningfully to public health protection and environmental stability.

Published

2025-08-15

Issue

Section

Articles