Smart City: Recent Advances in Intelligent Street Lighting Systems Based on IoT

Amjad Omar; Sara Almaeeni; Hussain Attia; Maen Takruri; Ahmed Altunaiji; Mihai Sanduleanu; Raed Shubair; Moh'D Sami Ashhab; Maryam Al Ali; Ghaya Al Hebsi

doi:10.1155/2022/5249187

Smart City: Recent Advances in Intelligent Street Lighting Systems Based on IoT

Amjad Omar, Sara Almaeeni, Hussain Attia, Maen Takruri, Ahmed Altunaiji, Mihai Sanduleanu, Raed Shubair, Moh'D Sami Ashhab, Maryam Al Ali, Ghaya Al Hebsi

Electrical Engineering

Research output: Contribution to journal › Review article › peer-review

21 Scopus citations

Abstract

Based on the importance of energy saving in terms of reducing the carbon impact and global warming problems, smart street lighting systems have been proposed in the past few years with different specifications. These systems include sensors for controlling the light intensity and connectivity for recording weather conditions and diagnosing lamp failure remotely. This paper discusses many published research studies regarding smart street lighting systems, providing a comparison between these systems which emphasizes the limitations of each one of them. Current and future trends are highlighted.

Original language	British English
Article number	5249187
Journal	Journal of Sensors
Volume	2022
DOIs	https://doi.org/10.1155/2022/5249187
State	Published - 2022

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This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1155/2022/5249187

Cite this

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title = "Smart City: Recent Advances in Intelligent Street Lighting Systems Based on IoT",

abstract = "Based on the importance of energy saving in terms of reducing the carbon impact and global warming problems, smart street lighting systems have been proposed in the past few years with different specifications. These systems include sensors for controlling the light intensity and connectivity for recording weather conditions and diagnosing lamp failure remotely. This paper discusses many published research studies regarding smart street lighting systems, providing a comparison between these systems which emphasizes the limitations of each one of them. Current and future trends are highlighted.",

author = "Amjad Omar and Sara Almaeeni and Hussain Attia and Maen Takruri and Ahmed Altunaiji and Mihai Sanduleanu and Raed Shubair and Ashhab, {Moh'D Sami} and {Al Ali}, Maryam and {Al Hebsi}, Ghaya",

note = "Publisher Copyright: {\textcopyright} 2022 Amjad Omar et al.",

year = "2022",

doi = "10.1155/2022/5249187",

language = "British English",

volume = "2022",

journal = "Journal of Sensors",

issn = "1687-725X",

publisher = "John Wiley and Sons Ltd",

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T2 - Recent Advances in Intelligent Street Lighting Systems Based on IoT

AU - Omar, Amjad

AU - Almaeeni, Sara

AU - Attia, Hussain

AU - Takruri, Maen

AU - Altunaiji, Ahmed

AU - Sanduleanu, Mihai

AU - Shubair, Raed

AU - Ashhab, Moh'D Sami

AU - Al Ali, Maryam

AU - Al Hebsi, Ghaya

PY - 2022

Y1 - 2022

N2 - Based on the importance of energy saving in terms of reducing the carbon impact and global warming problems, smart street lighting systems have been proposed in the past few years with different specifications. These systems include sensors for controlling the light intensity and connectivity for recording weather conditions and diagnosing lamp failure remotely. This paper discusses many published research studies regarding smart street lighting systems, providing a comparison between these systems which emphasizes the limitations of each one of them. Current and future trends are highlighted.

AB - Based on the importance of energy saving in terms of reducing the carbon impact and global warming problems, smart street lighting systems have been proposed in the past few years with different specifications. These systems include sensors for controlling the light intensity and connectivity for recording weather conditions and diagnosing lamp failure remotely. This paper discusses many published research studies regarding smart street lighting systems, providing a comparison between these systems which emphasizes the limitations of each one of them. Current and future trends are highlighted.

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U2 - 10.1155/2022/5249187

DO - 10.1155/2022/5249187

M3 - Review article

AN - SCOPUS:85144055059

SN - 1687-725X

VL - 2022

JO - Journal of Sensors

JF - Journal of Sensors

M1 - 5249187

ER -

Smart City: Recent Advances in Intelligent Street Lighting Systems Based on IoT

Abstract

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