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Article detail · 2025 · article

Optimising urban lighting efficiency with IoT and LoRaWAN integration in smart street lighting systems

ISSN2730-7239
YÖKSİS OpenAlex Open access · gold Top 10%
Year2025
Citations10OpenAlex
Citations20Semantic Scholar · 1 influential
Percentile%96.1
FWCI5.141.00 = world average
Scopus (SJR)Q1

Data source split

  • YÖKSİSYÖKSİS article record
  • YÖKSİS venueDiscover Internet of Things
  • Catalog match (ISSN)Discover Internet of Things
  • OpenAlexOpenAlex enrichment (abstract, citations, topics)
  • Semantic Scholarcitation count (not merged with OpenAlex)

Abstract

OpenAlex English

The integration of the Internet of Things (IoT) into smart city frameworks ushers in new opportunities for merging and enhancing diverse services, enabling seamless connectivity across multiple application domains. This paper presents the LoRaWAN-IoT-SSLS, an advanced automated streetlight control system that leverages IoT technology to achieve substantial energy savings and minimise the need for manual intervention. By employing LoRaWAN as the sensor network backbone, the system effectively addresses challenges related to long-range data transmission in IoT applications. The setup integrates a programmed Arduino board with PIR and LDR sensors, a GPS module, a LoRa shield, and a LoRaWAN gateway. The system is powered by a monocrystalline solar panel with a solar charger shield and battery and utilises LED lights for illumination. These components collectively enable automated switching and adaptive brightness control based on real-time environmental conditions, optimising energy use and enhancing safety. The system's performance was validated across distances up to 1000 m, maintaining stable operation with SNR values ranging from 9.8 to 1.5 dB and reliable RSSI levels, demonstrating robust communication and monitoring capabilities. Real-time status updates are visualised through the TagoIO platform, allowing for continuous remote management. The deployment of LoRaWAN-IoT-SSLS has the potential to significantly reduce electricity consumption and CO2 emissions by harnessing renewable energy resources. By activating lighting only when pedestrians or vehicles are detected and dimming or turning off when no presence is sensed, the system demonstrates superior performance over conventional models. This scalable and secure solution lays the groundwork for future innovations in smart urban infrastructure, setting new benchmarks for energy-efficient city lighting.

Topics

Citations

OpenAlex cited_by_count. Not a WoS or Scopus citation count; those sources have no separate column here.

10citationsOpenAlex · cited_by_count (cache / database)

2 publications in the local catalog that cite this work (OpenAlex reference match; not the full global list).

  1. 2025 Design and Implementation of an Off-Grid Smart Street Lighting System Using LoRaWAN and Hybrid Renewable Energy for Energy-Efficient Urban InfrastructureCitations 13 · OpenAlex
  2. 2025 Artificial Intelligence and Coronary Artery Calcium Scoring: Enhancing Cardiovascular Risk AssessmentCitations 1 · OpenAlex

Authors

2
  1. Waheb A Jabbar Shaif A Jabbar 1
  2. FARES ABDULHAFIDH DERHEM DAEL İZMİR BAKIRÇAY ÜNİVERSİTESİ 2