Distributed Real-Time Monitoring Systems for Smart Street Lighting Networks

Indrarini Dyah Irawati; Sugondo Hadiyoso; Suci Aulia; Muhamad Husaini Abu Bakar; Amit Dutta; Narendra Khatri; S. Deivalakshmi

doi:10.48084/etasr.17844

Authors

Indrarini Dyah Irawati School of Applied Science, Telkom University, Bandung, Indonesia
Sugondo Hadiyoso School of Applied Science, Telkom University, Bandung, Indonesia
Suci Aulia School of Applied Science, Telkom University, Bandung, Indonesia
Muhamad Husaini Abu Bakar System Engineering and Energy Laboratory, Universiti Kuala Lumpur, Kedah, Malaysia
Amit Dutta All India Council for Technical Education, New Delhi, India
Narendra Khatri Department of Mechatronics, Manipal Institute of Technology, Manipal, India
S. Deivalakshmi Department of Electronics & Communication Engineering, National Institute of Technology, Tiruchirappalli, India

Volume: 16 | Issue: 3 | Pages: 37009-37018 | June 2026 | https://doi.org/10.48084/etasr.17844

Received: 30 January 2026 | Revised: 17 March 2026, 9 April 2026, and 15 April 2026 | Accepted: 26 April 2026 | Online: 6 June 2026

Corresponding author: Indrarini Dyah Irawati

Abstract

Inefficient monitoring and limited control in public street lighting systems often lead to increased operational costs and reduced system reliability. However, many existing lighting networks still rely on limited monitoring and control mechanisms, leading to inefficient maintenance and increased operational costs. This study investigates whether a distributed multi-parameter monitoring architecture using low-power wireless communication can improve the reliability and scalability of public street lighting systems compared to conventional centralized approaches. This study proposes a smart street lighting monitoring system based on a distributed monitoring architecture using low-power wireless communication. The system integrates environmental and electrical sensing with real-time scheduling and a wireless monitoring network to support continuous observation and remote operational control of lighting nodes. Experimental evaluation shows that the communication network maintained stable connectivity up to 100 m without packet loss, while supporting reliable data transmission suitable for sensor-based monitoring applications. The system also demonstrated responsive operation and high communication reliability during real-time monitoring. The results demonstrate that the integration of multi-parameter monitoring with mesh-based wireless communication enables reliable real-time data exchange and scalable node-to-node operation in street lighting systems. This approach provides a practical monitoring framework that can be implemented by urban infrastructure operators to improve maintenance efficiency and reduce operational complexity. The findings highlight the potential of distributed communication architectures to enhance monitoring reliability without reliance on centralized systems. Future work will focus on large-scale deployment and communication optimization in complex urban environments.

Keywords:

communication network, IoT (Internet of Things), public street lighting system, real-time monitoring

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