Smart Street Light Using Intensity Controller

Abdullah, Aziera; Yusoff, Siti Hajar; Zaini, Syasya Azra; Midi, Nur Shahida; Mohamad, Sarah Yasmin

doi:10.1109/iccce.2018.8539321

Cited by 28 publications

(9 citation statements)

References 7 publications

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“…In the process of the LED lighting system, the pulse-width modulation alternates between 0 and 1 for altering the light dim output. Figure 8 shows the LED connecter for the sensor node, and Figure 9 shows pulse-width modulation variations corresponding to the digital signal values [24].…”

Section: Buildmentioning

confidence: 99%

PoC Design: A Methodology for Proof-of-Concept (PoC) Development on Internet of Things Connected Dynamic Environments

Prasanna¹,

Ramana²,

Kautish³

et al. 2021

Security and Communication Networks

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Internet of Things (IoT) is a phenomenon involving connecting things or objects with sensors. The IoT market is growing rapidly, and there are strong incentives for companies to follow the trend of IoT growth and development. However, the percentage of IoT measures that are considered successful seems low. The complexity of carrying out an IoT project lies in the need to adjust all the pieces of the puzzle: assets, sensors, communications, technology, coverage, and geographical locations with precision of the measures and regulations. All these requirements determine the economic viability of the business and its benefit. This study, therefore, examines how the project methodology can support the development of the concept and ensure the business value of IoT initiatives. The project methodology developed in this study is called PoC Design. A case study was evaluated, in which defects in street lighting were investigated and carried out. The evaluation of the methodology highlighted the importance of defining problems and solutions based on business value, calculating the potential of an IoT initiative, determining the continuation of the project, involving stakeholders at an early stage, and creating a PoC to validate the concept with stakeholders.

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Section: Buildmentioning

confidence: 99%

PoC Design: A Methodology for Proof-of-Concept (PoC) Development on Internet of Things Connected Dynamic Environments

Prasanna¹,

Ramana²,

Kautish³

et al. 2021

Security and Communication Networks

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“…The existing proposals for smart lighting are mainly based on the use of presence detectors installed along the street [84], [85] or on each street lamp [86]. These devices basically consist of an infrared sensor that detects pedestrians [87], [88].…”

Section: Case Study a Application Definitionmentioning

confidence: 99%

Distributed Architectures for Intensive Urban Computing: A Case Study on Smart Lighting for Sustainable Cities

et al. 2019

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New information and communication technologies have contributed to the development of the smart city concept. On a physical level, this paradigm is characterized by deploying a substantial number of different devices that can sense their surroundings and generate a large amount of data. The most typical case is image and video acquisition sensors. Recently, these types of sensors are found in abundance in urban spaces and are responsible for producing a large volume of multimedia data. The advanced computer vision methods for this type of multimedia information means that many aspects can be dynamically monitored, which can help implement value-added applications in the city. However, obtaining more elaborate semantic information from these data poses significant challenges related to a large amount of data generated and the processing capabilities required. This paper aims to address these issues by using a combination of cloud computing technologies and mobile computing techniques to design a three-layer distributed architecture for intensive urban computing. The approach consists of distributing the processing tasks among a city's multimedia acquisition devices, a middle computing layer, known as a cloudlet, and a cloud-computing infrastructure. As a result, each part of the architecture can now focus on a small number of tasks for which they are specially designed, and data transmission communication needs are significantly reduced. To this end, the cloud server can hold and centralize the multimedia analysis of the processed results from the lower layers. Finally, a case study on smart lighting is described to illustrate the benefits of using the proposed model in smart city environments. INDEX TERMS Mobile cloud computing, data processing, distributed architectures, smart city, urban computing.

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“…Street lights today consume a lot of energy due to the poor intensity and efficiency controls [1], [2]. The current problem with conventional systems is long operating hours which cause a lot of electricity costs and are a big waste if not taken seriously [3]- [5]. Currently, streetlight technology, especially in public buildings, is still relatively traditional with minimal means of measuring how much light enters the street and the old reliability standards and sometimes does not take advantage of the new technical growth [6], [7].…”

Section: Introductionmentioning

confidence: 99%

Internet of things and fuzzy logic for smart street lighting prototypes

Eriyadi¹,

Abdullah

Hasbullah

et al. 2021

IJ-AI

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Internet of things (IoT) and fuzzy logic are very useful in increasing the efficiency and effectiveness of a system; this study applies both to the street lighting systems. The prototype of a street lighting control and monitoring system has been completed. The status of lights that are on or off and the value of the light intensity can be monitored by using IoT. The intensity of the light is fuzzy controlled by utilizing the presence of vehicles and pedestrians around the lights. The prototype is made with a scale against real conditions. Data is processed and transmitted using a microcontroller and Wi-Fi on the IoT module. Mobile applications have been used on smartphone interfaces to monitor and control lamps wherever they are connected to the Internet. Changes in the status of lights to turn on or off are done by the relay module. The fuzzy light intensity control system uses sensors and microcontrollers by utilizing the presence of vehicles and pedestrians around the lights. Performance evaluation has been carried out on a miniature street lighting with the results of monitoring and control following its function. An analysis of the resulting energy savings has been demonstrated.

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Smart Street Light Using Intensity Controller

Cited by 28 publications

References 7 publications

PoC Design: A Methodology for Proof-of-Concept (PoC) Development on Internet of Things Connected Dynamic Environments

PoC Design: A Methodology for Proof-of-Concept (PoC) Development on Internet of Things Connected Dynamic Environments

Distributed Architectures for Intensive Urban Computing: A Case Study on Smart Lighting for Sustainable Cities

Internet of things and fuzzy logic for smart street lighting prototypes

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