ArticlePDF Available

New methodology to reduce power by using smart street lighting system

De Gruyter
Open Engineering
Authors:

Abstract and Figures

One of most important things now is to create smart street and smart lighting system to save enormous electrical energy. Especially Iraq is suffering shortage of electrical energy generation up to 45%. Because of this, Iraq needs to save a lot of electrical energy in the entire country so as to meet the electrical demand and reduce the large amount of CO 2 emission. However, this work presents a very unique and economic control lighting system (CLS) for main streets and sidewalks, which can control the lighting system to give sufficient illumination to the drivers and the pedestrians simultaneously. And at the same time, the CLS system can reduce a lot of electrical energy consumption and the CO 2 emissions together. However, by using these smart systems with the exciting illumination source in the streets, the CLS can minimize the electrical energy consumed for the lighting at the main roads and the footpath by about 60% and can use the surplus energies to fill the shortage of electricity in the country. Also, this system will increase the lifetime of the lighting system which means further decrease in cost. Finally, this work presents new type of illumination source, high-intensity discharge (HID), which can reduce the electrical consumption much more by up to 90%, when using the CLS with HID.
Content may be subject to copyright.
Research Article
Ameer Al-khaykan*, Ali Saleh Aziz
#
, Ibrahim H. Al-Kharsan
#
and John M. Counsell
#
New methodology to reduce power by using
smart street lighting system
https://doi.org/10.1515/eng-2022-0361
received March 30, 2022; accepted July 25, 2022
Abstract: One of most important things now is to create
smart street and smart lighting system to save enormous
electrical energy. Especially Iraq is suering shortage of
electrical energy generation up to 45%. Because of this,
Iraq needs to save a lot of electrical energy in the entire
country so as to meet the electrical demand and reduce
the large amount of CO
2
emission. However, this work
presents a very unique and economic control lighting
system (CLS)for main streets and sidewalks, which can
control the lighting system to give sucient illumination
to the drivers and the pedestrians simultaneously. And at
the same time, the CLS system can reduce a lot of electrical
energy consumption and the CO
2
emissions together.
However, by using these smart systems with the exciting
illumination source in the streets, the CLS can minimize
the electrical energy consumed for the lighting at the
main roads and the footpath by about 60% and can
use the surplus energies to ll the shortage of electricity
in the country. Also, this system will increase the lifetime
of the lighting system which means further decrease in
cost. Finally, this work presents new type of illumination
source, high-intensity discharge (HID), which can reduce
the electrical consumption much more by up to 90%,
when using the CLS with HID.
Keywords: control lighting system, Arduino, saving energy,
HID lamps
1 Introduction
Many countries suer loss of large amount of money due
to the increase in electricity consumption [1], which
results from the excessive use of electricity in homes,
shops, and other utilities that rely entirely on electrical
appliances. This may cause a noticeable crisis in the elec-
tricity sector. This requires a number of ways to reduce
the burden, the largest being the sources of electric power
in the state, one of the simplest of these methods is the
process of controlling the street lighting [2,3].
In the present, street lighting is required in all regions,
whether rural or urban, so that people understand that
street lighting is a viable option for ensuring the safety
of road users during the night [4]. The regulation of street
lights is relatively simple [5], but the number of streets has
steadily grown as urbanization has progressed [6].Theon-
ooperation of conventional lighting of street lamps is
dependent on the chronological period, which is ineec-
tive and inexible [7].
A timer and a photocell are utilized in the current
street lighting control system [8]. The timer is set for
5 pm to 7 am to switch on the street light [9]. On the other
hand, the presence of light or electromagnetic-energy
triggers a reaction in the photocells. The photocells can
switch on the street lights automatically, if it is raining or
when the light intensity is minimal [10,11]. Since day and
night conditions are unpredictable, this device is very
inecient. Sometimes at 7 pm the daylight is still there
but the streetlights are already on. Conversely [12],at
7 am the streetlights are already oin spite of the day
being still dark. As a result, this system is actually ine-
cient [13,14].
The street lighting system is built to address the needs of
local residents, such as control of increasing road and side-
walk trac[15]. To get good eciency and performance,
modernistic control systems of street lighting should be eli-
gible to adjust the intensity ofthelighttoachievethebest
level of energy utilization. Nevertheless, if there is no utilizer
or no vehicles utilize roads at midnight, particularly in rural
areas, power would be wasted [16,17].

* Corresponding author: Ameer Al-khaykan, Intelligent Medical
Systems Department, Al-Mustaqbal University College,
51001 Hillah, Babil, Iraq,
e-mail: ameer.alkhaykan@mustaqbal-college.edu.iq
Ali Saleh Aziz: Department of Electrical Power Techniques Engineering,
Al-Hussain University College, 56001 Karbala, Iraq
Ibrahim H. Al-Kharsan: Computer Technical Engineering Department,
College of Technical Engineering, The Islamic University, Najaf, Iraq
John M. Counsell: Electronics and Electrical Engineering Department,
University of Chester, Parkgate Rd, Chester CH1 4BJ, United Kingdom

#Equally contributed.
Open Engineering 2022; 12: 918922
Open Access. © 2022 the author(s), published by De Gruyter. This work is licensed under the Creative Commons Attribution 4.0 International
License.
The proposed street lighting automation system is a
smart system that gives a versatile and eective way to
manage street lighting autonomously. Two sensors (infrared
sensor and light-dependent-resistor sensor)control this
system. Light-dependent-resistor sensor is utilized to sense
darkness to operate the ON/OFF switch.
2 Existing systems
With the exponential development of industries and cities,
the industry of street lighting systems is increasingly
expanding and becoming more complex. In the current
world of electronics and electrical-related technology,
automation, power utilization, and cost-eectiveness are
all signicant considerations. Various streetlight manage-
ment systems are designed to control and operate compli-
cated street lighting systems more economically [18].These
systems utilize modern methods to reduce the energy usage
of a citys public lighting system. High-intensity discharge
(HID)lamps are utilized in the current work. Currently, HID
is utilized for urban streetlights and is built on the concept
of gas discharge, so the intensity cannot be regulated by
any voltage reduction system as the discharge path is
broken [19]. HID lamps are a kind of electrical gas-discharge
lamp that utilizes an electric arc among tungsten electrodes
within a translucent or clear fused quartz or fused alumina
arc tube to create illumination. Both gas and metal salts are
present in this tube. The gas aids the initial strike of the arc
[20]. As the arc is started, it heats up and evaporates the
metal salts producing plasma, which signicantly raises the
arcs light intensity and lowers its power consumption. HID
lamps are a kind of arc lamp [21].Thiscausesreductionin
power consumption in the street light system to about 90%
compared with the traditional light system (high-pressure
sodium vapor (HPS)lamp)and increases the lifespan of the
lightning source by 4 times, which reduces the cost of main-
tenance, replacement, and electricity.
3 HPS vs HID
The street connecting the Najaf city and Karbala city has
1,800 street lighting poles. The distance between two
lighting poles is 50 m. Every pole has two HPS lamps of
400 W. This study replaces the two HPS lamps of 800 W
with two HID lamps of 200 W [22,23]. In this case, the
consumption of electricity has already been reduced
by 75%. Moreover, the 200 W HID lamps give the same
illumination as that of 800 W HPS lamps or even better
[24,25].
4 Methodology and assumption
In this work, since there is a large amount of unknown
information or information not available, let us assume
the numbers in highest range to keep the results trustable.
Number of lighting poles between center of Najaf city
and center of Karbala City =1,800 poles.
Distance between two lighting poles =50 m.
Recent energy consumption for each lighting pole per
hour =400 W.
Average car speed =100 km/h.
Time of turning ON of the lighting pole =0.0299.
5 Operating conditions
The project can be summarized as follows.
When the wheel passes near the sensor no. 1, it
senses the presence of the movement near the column
no. 1 and thus equates to the Arduino system, the pre-
sence of a body near the column no. 1 is sensed by certain
frequencies and in turn the frequencies are converted to
electric energy to illuminate column nos. 1 and 2 (Figure 1).
Next the arrival of the wheel near the sensor no. 2 allows
the device of the Arduino to reach the wheel within the
frequency of its role and the closest to the pillar near
the light number (1-2-3)(Figure 2). Then, on the arrival
of the wheel near the sensor no. 3, the same process, where
the former senses the presence of the body near or arrival
of the wheels and allows the Arduino to illuminate the
columns 2, 3, and 4, is carried out and column no. 1 is
turned o(Figure 3). Finally, when the wheel reaches the
specied area of sensor no. 4, it senses the presence of the
Figure 1: Switching ON the light column nos. 1 and 2, while 3, 4, and
5 are OFF.
New methodology to reduce power by using smart street lighting system 919
body near it and thus works to illuminate columns 3, 4,
and 5 and turn ocolumn no. 2 (Figure 4).
6 Results
The exciting lighting method for 1,800 poles with HPS
lighting source consumes electrical energy for 13 h as
shown in the equation below
() =
1
, 800⁎800⁎ 13 number of lighting hours 18, 720 kW
.
While the exciting lighting method with HID lighting
source consumes electrical energy for 13 h as shown in
the equation below
=
1
, 800⁎200⁎13 4, 680 kW
.
However, the consumption of the electrical energy
will reduce by about 60% when using the control lighting
system (CLS)in both type of illumination sources (HID
and HPS)as shown in the eciency equation below.
The total power used for lighting 1,800 poles by using
CLS with HPS =1828.8 kW. The eciency of the new
lighting system for this is
() (
)
/=7315.2 18720 ⁎100% 39% which mean the CLS
reduce about 61%.
When applying the HID lighting source with CLS, the
eciency will be as shown in the equation below
()/=1828.8 4680 ⁎100% 39%
.
The results show that the CLS will reduce power con-
sumption by about 61% with any type of illumination
source.
Eciency of the new system with old lighting method.
Eciency of the HID lighting system with CLS against
the HPS lighting system as the lighting system exist
recently shows as the equation below
(1828.8/18,720)*100% =9.76%, reduced by about
90% of the total power consumption of normal lighting
by using the HPS illumination source (Tables 13).
7 Conclusion
Smart lighting is a lighting technology designed to save
energy, where the control system is set up in light of the
conditions such as having oriented parts. The smart
lighting technology is designed to save energy and main-
tain resources and environment, where its system con-
trols the lighting and modies the controlling in
Figure 2: Switching ON of the light column nos. 1, 2, and 3, while 3
and 4 are OFF.
Figure 3: Switching ON of the light column nos. 2, 3, and 4 ON, while
1 and 5 are OFF.
Figure 4: Switching ON of the light column nos. 3, 4, and 5, while 1
and 2 are OFF.
920 Ameer Al-khaykan et al.
accordance with certain circumstances and rules. The
smart lighting term is based on the lighting technology
that is increased in the process of increased energy and
opening it by controlling the operation of the energy
and opening it. The lighting of the lighting is available
in the light of the energy and service and the construction
of the domes in the lighting of the homes, restaurants and
various facilities, In addition to the lighting streets, trac
lights, theaters and cinema, and other cities. The smart
lighting technology is often reduced by the sophisticated
lighting lamps that are usually composed of the "LED",
which it has life time longer than the other types of
lighting sources and does not produce heat and wasting
much energy.
Smart control smart lighting technology based on
intelligent control system controls the degree and timing
of lighting the lamps, according to the signals that are
taken by the light sensors in the place. The system works,
for example, on lighting of a particular bulb in the way. If
thepersonmovesfromonewalkpathtoanother,the
system of the lighting will turn on for him.
Table 1: Total amount of the energy consumed per lighting pole in every 1 h during the lighting time and the total amount of energy
consumed for full time lighting of all the 1,800 poles by using CLS lighting system and HID lighting source
Time period Avg. no.
of cars
per min
Time of turn-on of
each lightning
pole per min
Amount of electricity
consumption for every
light pole per min
Amount of electricity
consumption of each light
pole per hour (W)
The total amount of electrical
consumption of all 1,800
lightning poles per hour (W)
5pm6 pm 33 0.9867 3.283 197 354,600
6pm7 pm 33 0.9867 3.283 197 354,600
7pm8 pm 30 0.897 2.987 179 322,200
8pm9pm 25 0.747 2.487 149 268,200
9pm10 pm 20 0.598 1.997 120 216,000
10 pm11 pm 10 0.299 0.995 60 108,000
11 pm1 am 3 0.0897 0.298 18 32,400
1am2 am 1 0.0299 0.099 6 10,800
2am3 am 1 0.0299 0.099 6 10,800
3am4 am 1 0.0299 0.099 6 10,800
4am5 am 3 0.0897 0.298 18 32,400
5am6 am 10 0.299 0.995 60 108,000
Total 1828.8 kW
Table 3: Amount the energy consumption per pole for each hour by
using the (CLS)methodology for HID lighting source
Total Amount of electrical energy
consumption for all (1,800)lighting poles
per hour in W with new lighting
method (HID)
Avg. no of cars
per min
354,600 1,418,400
354,600 1,418,400
322,200 1,288,800
268,200 1,072,800
216,000 864,000
108,000 432,000
32,400 129,600
10,800 43,200
10,800 43,200
10,800 43,200
32,400 129,600
108,000 432,000
1828.8 kW 7315.2
Table 2: Total amount of the energy consumed by each lighting pole
in every 1 hour during the lighting time and the total amount of
energy consumption for full time lighting for all the 1,800 poles by
using CLS lighting system and HID lighting source
Time period Avg.
no of
cars
per
min
Time of
turn-on of
each
lightning
pole
per min
Amount of
electricity
consumed
by every
light pole
per min (W)
Amount of
electricity
consumed
for every
light pole
per hour (W)
5pm6 pm 33 0.9867 788 197
6pm7 pm 33 0.9867 788 197
7pm8 pm 30 0.897 716 179
8pm9 pm 25 0.747 596 149
9pm10 pm 20 0.598 480 120
10 pm11 pm 10 0.299 240 60
11 pm1 am 3 0.0897 72 18
1am2 am 1 0.0299 24 6
2am3 am 1 0.0299 24 6
3am4 am 1 0.0299 24 6
4am5 am 3 0.0897 72 18
5am6 am 10 0.299 240 60
Total 1,016 W
New methodology to reduce power by using smart street lighting system 921
The advantage of several highlights of smart lighting
is 70% reduction in electricity consumed by lights in
households, streets, and other facilities, without aecting
the performance, ensuring their excellent productivity
with current bases and standards. The smart lighting is
changing lighting system in the streets and roads in the
cities, in accordance with the trac load, accidents and
climate change, the ratio of lighting and raising safety
rates. The most important features of smart lighting can
be illustrated by the electricity is reduce electricity con-
sumption, running cost, emission and the light lifetime.
Finally, the system can reach eciency more than 90% if
the lighting type has been changed from HPS to HID.
Acknowledgment: This research was accomplished by
cooperation group of researchers from Al-Mustaqbal University
College, Iraq, Al-Husain University College, Iraq, and
Liverpool John Moores University, UK. This project was
funded by the Green Future company in Iraq. Many thanks
to Al-Mustaqbal University College for all the nancial
supports to accomplish this research.
Funding information: The authors are grateful for the nan-
cial and technical support from Al-Mustaqbal University
College (grant code: 0122).Many thanks to Headway to Green
Future company for technical and information support.
Conict of interest: Authors state no conict of interest.
References
[1]Kokilavani MM, Malathi A. Smart street lighting system using
IoT. Int J Adv Res Appl Sci Technol. 2017;3(11):811.
[2]Smys S. Articial neural network based power management for
smart street lighting systems. J Artif Intell. 2020;2(1):4252.
[3]Rakotomalala LFF, Randriamanantany Z. HID lamps dimming in
the public lighting installations dominated by magnetic bal-
lasts. 2014 International Conference on Applied and
Theoretical Electricity (ICATE); 2014. p. 15.
[4]Hernández R, Kubota C. LEDs supplemental lighting for
vegetable transplant production: Spectral evaluation and com-
parisons with HID technology. International Symposium on New
Technologies for Environment Control, Energy-Saving and Crop
Production in Greenhouse and Plant; 2014. p. 82936.
[5]Satapathy SC, Bhateja V, Favorskaya MN, Adilakshmi T. Smart
Intelligent Computing and Applications, Volume 2. vol. 283,
2022. p. 193202. doi: 10.1007/978-981-16-9705-0.
[6]Escolar S, Carretero J, Marinescu M, Chessa S. Estimating
energy savings in smart street lighting by using an adaptive
control system. Int J Distrib Sens Netw. 2014;10(5):971587.
[7]Balat M. Solar Technological Progress and Use of Solar Energy
in the World. Energy Sources A: Recovery Util. Environ. E.
2017;28(10):97994. doi: 10.1080/009083190953409.
[8]Chen S, Xiong G, Xu J, Han S, Wang F, Wang K. The smart street
lighting system based on NB-IoT. 2018 Chinese Automation
Congress (CAC). 1, 2018. p. 15.
[9]Chew I, Kalavally V, Win N, Parkkinen J. Design of an energy-
saving controller for an intelligent LED lighting system. Energy
Build. 2016;120:19. doi: 10.1016/j.enbuild.2016.03.041.
[10]Suseendran SC. Smart street lighting system department of
computer science. 3rd International Conference on
Communication Electronic System; 2018. p. 6303.
[11]Srivani B, Divya CL, Neelima KS, Akshiah V, Salman M,
Kumar KK. Smart street light system with automated feedback.
Int J Mod Dev Eng Sci. 2022;1(6):46.
[12]Decker A, Decker A, Decker A, Decker A. IISTE Journals June
2013 Publications; June, 2013.
[13]Prasad R. Energy ecient smart street lighting system in
Nagpur smart city using IoT A case study. 2020 Fifth
International Conference on Fog and Mobile Edge Computing
(FMEC); 2020. p. 1003.
[14]Ageed ZS, Zeebaree S, Sadeeq M, Abdulrazzaq MB, Salim BW,
Salih AA, et al. A state of art survey for intelligent energy
monitoring systems. Asian J Res Comput Sci. 2021;8(1):4661.
[15]Mohamed SAE. Smart street lighting control and monitoring
system for electrical power saving by using VANET. t'l J
Commun Network Syst Sci. 2013;6(August):35160.
[16]YusoYM, Rosli R, Kamaluddin MU, Samad M. Towards smart
street lighting system in Malaysia. 2013;1:3015.
[17]Dizon E, Pranggono B. Smart street lights in smart city: A case
study of Sheeld. J Ambient Intell Humaniz Comput.
2022;13(4):204560.
[18]Mohandas P, Sheebha J, Dhanaraj A, Gao X. Articial neural
network based smart and energy ecient street lighting system:
A case study for residential area in Hosur. Sustain Cities Soc.
March, 2019;48:101499. doi: 10.1016/j.scs.2019.101499.
[19]Jin D, Hannon C, Li Z, Cortes P, Ramaraju S, Burgess P, et al.
Smart street lighting system: A platform for innovative smart
city applications and a new frontier for cyber-security. Electr J.
2016;29(10):2835. doi: 10.1016/j.tej.2016.11.011.
[20]Li Y, Shi R. An intelligent solar energy-harvesting system for
wireless sensor networks. EURASIP J Wirel Commun Netw.
2015;2015:179. doi: 10.1186/s13638-015-0414-2.
[21]Mahboubi H, Masoudimansour W, Aghdam AG, Sayraan-
Pour K. Maximum lifetime strategy for target monitoring with
controlled node mobility in sensor networks with obstacles.
IEEE Trans Autom Contr. 2016;61(11):34933508. doi: 10.1109/
TAC.2016.2536800.
[22]Velaga NR, Kumar A. Techno-economic evaluation of the fea-
sibility of a smart street light system: A case study of Rural
India. Procedia -Soc Behav Sci. 2012;62:12204. doi: 10.1016/
j.sbspro.2012.09.208.
[23]Nasir T, Bukhari S, Raza S, Munir HM, Abrar M, Muqeet H, et al.
Recent challenges and methodologies in smart grid demand
side management: State-of-the-art literature review. Math
Probl Eng. 2021;2021:202116.
[24]Huang BJ, Wu MS, Hsu PC, Chen JW, Chen KY. Development of high-
performance solar LED lighting system. Energy Convers Manag.
2010;51(8):166975. doi: 10.1016/j.enconman.2009.11.046.
[25]Bhairi MN, Kangle SS, Edake MS, Madgundi BS. Design and
implementation of smart solar LED street light. 2017
International Conference on Trends in Electronics and
Informatics (ICEI); 2017. p. 50912.
922 Ameer Al-khaykan et al.
Article
Full-text available
The concept of smart grid was introduced a decade ago. Demand side management (DSM) is one of the crucial aspects of smart grid that provides users with the opportunity to optimize their load usage pattern to fill the gap between energy supply and demand and reduce the peak to average ratio (PAR), thus resulting in energy and economic efficiency ultimately. The application of DSM programs is lucrative for both utility and consumers. Utilities can implement DSM programs to improve the system power quality, power reliability, system efficiency, and energy efficiency, while consumers can experience energy savings, reduction in peak demand, and improvement of system load profile, and they can also maximize usage of renewable energy resources (RERs). In this paper, some of the strategies of DSM including peak shaving and load scheduling are highlighted. Furthermore, the implementation of numerous optimization techniques on DSM is reviewed.
Article
Full-text available
In this study, the significance and necessities of surveillance systems have been investigated in several areas-both in the use of neural networks, street lighting systems, factories, and laboratories-for the monitoring systems, especially concerning the design of artificial intelligence programs. The importance of these initiatives and how they can affect any sector and industry reach an essential point from here. Here we reach an important point. An algorithm and an extraordinary approach have been used in every field to develop an intelligent programmer. Something has been mentioned here: the ability to access these intelligent programs in all areas of life. We concentrate on a variety of fields of use and design of monitoring systems in this review article.
Article
Full-text available
Smart streetlights can be used to enhance public safety and well-being. However, not only it is one of the most draining structures in terms of electricity, but it is also economically straining to local government. Typically, many councils adopt a static or conventional approach to street lighting, this presents many inefficiencies as it does not take into account environmental factors such as light levels and traffic flows. This paper will present the utilities of a streetlights in Sheffield and how different councils tackle the issue by using different lighting schemes. Investigation of current implementations of information and communication technologies (ICT) such as Internet of Things (IoT) in streetlights will be necessary to understand different proposed models that are used in ‘smart’ street lighting infrastructure. Case studies from Doncaster and Edinburgh are explored as they are using similar technology and having a similar sized topology as Sheffield. To analyze different models, StreetlightSim, an open-source streetlight simulator, is used to present different lighting schemes. There will be four time-based schemes: Conventional, Dynadimmer, Chronosense and Part-Night which have varying capabilities that will be simulated to present a plethora of solutions for Sheffield’s street lighting problem. The results from the simulations showed mixed readings, the time-based schemes showed reliable data from StreetlightSim’s own evaluations, however its adaptive approach will need to be further analyzed to demonstrate its full capability.
Conference Paper
Full-text available
This paper proposes energy efficient of automatic street lighting system based on low cost Arduino. The main objective is to design energy efficient smart street light for energy conservation in existing streetlight. While, the controlling and managing of the system is based on the number of traffic and day/night time. The system was programmed to automatically turn off during the hours of daylight and only operate during the night and heavy raining or bad weather. Many times we see that street lights are remain switched ON even during day time, this is lot of wastes of electricity while India is facing lack of electricity. Another thing is that these traditional street lam*ps e.g. Sodium vapour, Metal halide, Incandescent, Fluorescent lamps consumes more power for a specified Lumen per Watt as compared with new advanced Led Lights. Above problems can be overcome using automatic controlled, Self-powered, efficient Solar Street light.
Conference Paper
Street Lighting is an important factor for ensuring safety in the city and instilling a sense of security in the mind of the citizens. But the cost associated with it is quite high which is borne by the local municipalities. Recent development in the lighting devices has seen a paradigm shift in the types of devices used which has led to some savings in energy consumption, but a lot still remains wasted. Smart Street lighting is a cost effective solution in an urban environment which compromises of advance wireless communication, low cost LED’s, some additional sensors which controls the intensity of light. This system has high cost and energy savings advantage over the conventional switching on – off method. This paper presents a case study of Smart Lighting system of Nagpur Smart city where one of the goal was to reduce the carbon footprint by reducing the energy consumption. This was achieved by replacing the outdated 400 street luminaries with motion detection smart lighting system. The deployed new intelligent street lighting system of Nagpur Smart City has drastically reduced the energy consumption by 60 % per month, while maintaining the lighting norms for the pedestrians and vehicles.
Article
The modern ways to empower the ecofriendly people also insists the necessity to cutting back of energy consumption. The minimizing the energy consumption would in turn reduce the rate of carbon emission, resulting in a cleaner air quality and higher standard of living by paving way for a cleaner planet. The increasing demand on power requirement is also one of the important reason for minimizing the energy consumption. The paper tries to decrease the energy usage of the street light system as the lighting systems in the street does not have an efficient way of managing and controlling the power flow in them as they are incapable of taking into consideration the prevailing demands on the intensity of light. So the paper puts forwards the idea of power management in the smart street lighting to control efficiently the power consumption by comparing the intensity of the light with the weather conditions. The artificial neural networks is used in power management of the street lighting in the proposed method. The evaluation of the method show up with the results that produce the better management of the power and the reduced power usage in street lights.
Article
Smart city is the term described to integrate all facilities to the people in a frequently accessible manner. Street lighting system is one of the part of the facility provided in smart cities. The unwanted utilisation of the street lighting affects the economic status of the country indirectly. Power consumption through street lighting is major problem, hence action plan is taken to promote the reduction policies of the power consumption. Reducing the unnecessary power consumption is not a simple task, but with soft computing approaches power consumption can be reduced. The objective of this article is to present an ANN based energy efficient smart street lighting systems. The proposed design were implemented and executed in a residential area, Hosur and the results are carried out at different scenarios and various seasons. The decision making module exploits the analysis factors obtained via lighting sensor, motion sensor, PIR sensor, etc. artificial neural network and fuzzy logic controller makes an efficient decision making process for demand based utilisation and to avoid the unnecessary utilisation of street lights. The five levels of scenarios are tested and implemented in a real time. Through this work, the smart and energy efficiency street lighting system reduced the unwanted utilisation by 34% and reduced the power consumption rate of 13.5%.
Article
A wireless networked LED street lighting system with centralized and remote control technology has emerged as an innovative smart city application with great potential to reduce energy cost and enhance public safety. A pilot system integrated within a campus microgrid demonstrates the benefits of two smart city applications for public safety enhancement, while revealing multiple cyber-security challenges.