Robust Cellular Connection-Based Smart Street Lighting System for Supporting Strategic IoT Smart City Applications

Ahmed Hassebo; Sharif IM Sheikh; Wayne Bynoe

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Conference: ASEE-NE 2022
Location: Wentworth Institute of Technology, Massachusetts
Publication Date: April 22, 2022
Start Date: April 22, 2022
End Date: April 23, 2022
Page Count: 10
DOI: 10.18260/1-2--42199
Permanent URL: https://peer.asee.org/42199
Download Count: 286

Paper Authors

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Ahmed Hassebo Wentworth Institute of Technology

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Ahmed Hassebo is a Visiting Assistant Professor of Electrical and Computer Engineering at the school of Engineering, Wentworth Institute of Technology (WIT). Dr. Hassebo has been granted MPhil and PhD degrees of Electrical Engineering (EE) from The City College of The City University of New York in 2016 and 2019, respectively. He has been awarded the BSc of EE from Al-Azhar University, Egypt. His research interests including wireless communications, 4G/5G dynamic bandwidth allocation algorithms, Smart grid applications, and IoT mission critical applications.

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Sharif IM Sheikh Wentworth Institute of Technology orcid.org/0000-0003-0187-9806

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Dr Sharif Iqbal Sheikh has completed his graduate degrees from University of Manchester (UMIST), UK. During his teaching carrier in Asia, Europe, and North America, he was awarded multiple distinguished awards related to teaching, advising, use of instructional technology and supervision to student organizations. He also received several research awards including Best antenna paper in an IEE flagship conference. He has 100+ scholarly publications in refereed journals, conferences proceedings and US patents. His current research interest includes designing RF/micro/millimeter-wave control devices and sensors. He is a Fellow of IEE and a Senior Member of IEEE.

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Wayne Bynoe Wentworth Institute of Technology

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I am a professor in the School of Engineering at Wentworth Institute of Technology. My area of specialization is Computer Networks. I worked for decades as a Technical Staff member at MIT Lincoln Laboratory in the areas of computer network modeling and simulation and high performance processor design for signal processing applications.

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Abstract

The Smart city incorporates information and communication technology (ICT) and the internet of things (IoT) services to enhance the efficiency of the resident-related city operations and services. Smart lighting systems are evolving as an essential infrastructure that can support a wide range of existing and future smart city application. Each smart streetlight is transformed into multi-sensor-equipped smart node. Such a sensor (hub) node capable of capturing and transmitting/receiving real-time data (digitally controllable nodes). A smart streetlight has sensors embedded and connected to the cloud. Globally, many cities are in the replacement phase of the legacy streetlights by low-power light-emitting diodes (LEDs) to reduce energy utilization, expenses, and carbon footprint. In addition, some of these cities are installing intelligent controls with these smart streetlights, enabling a robust smart connected outdoor lighting network that can serve as the foundation for future smart city infrastructure. A smart connected lighting network employs sensors, smart light controller (LC), communication network, data collection, and cloud software to enable remote control and monitoring of LED streetlights over the Internet. This paper reports the performance of commercial point-to point (P2P) 4G long term evolution (LTE) cellular networks when used to provide robust connectivity among massive number of smart streetlight hub nodes and the cloud. Each smart streetlight hub node is assumed to be running simultaneously few basic lighting control services as well as smart city applications. Smart city applications range from strategic applications to relaxed latency applications. Strategic applications necessitate strict latency and reliability requirements, particularly, HD IP video surveillance cameras, however, the relaxed latency applications do not demand such strict requirements, for instance, the smart meter applications. The Control Center (CC) located at the cloud is the lighting infrastructure management module, which commands/ configures each streetlight (e.g., light-on, light-off, dimming) and monitors the infrastructure operating conditions for maintenance functions. The information exchange between the CC and each streetlight takes place via a communication network. This network must provide adequate coverage throughout the whole area where the streetlights are deployed. A smart LED has embedded sensors along with smart LC (to activate the commands received by the CC and transmit the required information) and connectivity to the cloud.

Citation
Format

Hassebo, A., & Sheikh, S. I., & Bynoe, W. (2022, April), Robust Cellular Connection-Based Smart Street Lighting System for Supporting Strategic IoT Smart City Applications Paper presented at ASEE-NE 2022, Wentworth Institute of Technology, Massachusetts. 10.18260/1-2--42199

TY - CPAPER
AB - The Smart city incorporates information and communication technology (ICT) and the internet of things (IoT) services to enhance the efficiency of the resident-related city operations and services. Smart lighting systems are evolving as an essential infrastructure that can support a wide range of existing and future smart city application. Each smart streetlight is transformed into multi-sensor-equipped smart node. Such a sensor (hub) node capable of capturing and transmitting/receiving real-time data (digitally controllable nodes). A smart streetlight has sensors embedded and connected to the cloud. Globally, many cities are in the replacement phase of the legacy streetlights by low-power light-emitting diodes (LEDs) to reduce energy utilization, expenses, and carbon footprint. In addition, some of these cities are installing intelligent controls with these smart streetlights, enabling a robust smart connected outdoor lighting network that can serve as the foundation for future smart city infrastructure. A smart connected lighting network employs sensors, smart light controller (LC), communication network, data collection, and cloud software to enable remote control and monitoring of LED streetlights over the Internet.
This paper reports the performance of commercial point-to point (P2P) 4G long term evolution (LTE) cellular networks when used to provide robust connectivity among massive number of smart streetlight hub nodes and the cloud. Each smart streetlight hub node is assumed to be running simultaneously few basic lighting control services as well as smart city applications. Smart city applications range from strategic applications to relaxed latency applications. Strategic applications necessitate strict latency and reliability requirements, particularly, HD IP video surveillance cameras, however, the relaxed latency applications do not demand such strict requirements, for instance, the smart meter applications.
The Control Center (CC) located at the cloud is the lighting infrastructure management module, which commands/ configures each streetlight (e.g., light-on, light-off, dimming) and monitors the infrastructure operating conditions for maintenance functions. The information exchange between the CC and each streetlight takes place via a communication network. This network must provide adequate coverage throughout the whole area where the streetlights are deployed. A smart LED has embedded sensors along with smart LC (to activate the commands received by the CC and transmit the required information) and connectivity to the cloud.

AU - Ahmed Hassebo
AU - Sharif IM Sheikh
AU - Wayne Bynoe
CY - Wentworth Institute of Technology, Massachusetts
DA - 2022/04/22
PB - ASEE Conferences
TI - Robust Cellular Connection-Based Smart Street Lighting System for Supporting Strategic IoT Smart City Applications
UR - https://peer.asee.org/42199
DO - 10.18260/1-2--42199
ER -