IOT based smart street light management system

Dheena, P. P. Fathima; Raj, Greema S.; Dutt, Gopika; Jinny, S. Vinila

doi:10.1109/iccs1.2017.8326023

Cited by 61 publications

(13 citation statements)

References 2 publications

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“…Smart streets are the most important applications provided by smart cities, where they include a large number of diverse services. The most important of these services include automated addressing of congestion and flow management, medical services everywhere, immediate response to emergencies, easy and accurate search for points of interest, self-lighting, safety of pedestrians, Smart parking, pollution sensors, noise and leaks, alerts and warnings for drivers, remote monitoring, advertisements associated with the place, search for points of interest, monitoring violations, and others [54].…”

Section: B An Application Of the Spf In Smart Streetsmentioning

confidence: 99%

A New Method With Swapping of Peers and Fogs to Protect User Privacy in IoT Applications

Yamin

Sen

2020

IEEE Access

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Section: B An Application Of the Spf In Smart Streetsmentioning

confidence: 99%

A New Method With Swapping of Peers and Fogs to Protect User Privacy in IoT Applications

Yamin

Sen

2020

IEEE Access

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“…Still considering efficient management of lamp posts, the work in [55] employed an Arduino board to control the lights and to monitor the temperature and humidity of a region. As LED lamps may have their light intensity adjusted, authors proposed the use of LDR (Light Dependent Resistors) sensors to reduce light intensity (and energy consumption) when a region is already too bright, potentially achieving efficient lighting on an area.…”

Section: Energy Managementmentioning

confidence: 99%

“…As LED lamps may have their light intensity adjusted, authors proposed the use of LDR (Light Dependent Resistors) sensors to reduce light intensity (and energy consumption) when a region is already too bright, potentially achieving efficient lighting on an area. An Arduino board was used in [55] to integrate the sensor units and to perform the adjustments.…”

Section: Energy Managementmentioning

confidence: 99%

Open-Source Electronics Platforms as Enabling Technologies for Smart Cities: Recent Developments and Perspectives

Costa

Durán-Faúndez

2018

Electronics

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With the increasing availability of affordable open-source embedded hardware platforms, the development of low-cost programmable devices for uncountable tasks has accelerated in recent years. In this sense, the large development community that is being created around popular platforms is also contributing to the construction of Internet of Things applications, which can ultimately support the maturation of the smart-cities era. Popular platforms such as Raspberry Pi, BeagleBoard and Arduino come as single-board open-source platforms that have enough computational power for different types of smart-city applications, while keeping affordable prices and encompassing many programming libraries and useful hardware extensions. As a result, smart-city solutions based on such platforms are becoming common and the surveying of recent research in this area can support a better understanding of this scenario, as presented in this article. Moreover, discussions about the continuous developments in these platforms can also indicate promising perspectives when using these boards as key elements to build smart cities.

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“…The smart street light management system proposed Dheena et al (2017) uses LDR sensor for turning lights on or off based on the lighting and weather conditions. The prototype senses weather conditions near the street light using the DHT11 (Temperature and Humidity Module) and sends the weather data to the server using ESP-8266.…”

Section: Introductionmentioning

confidence: 99%

Algorithm for Detection of Phishing URL and Web Scraping

Shah¹,

Soundarabai²

2019

J. Eng. Appl. Sci.

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The main aim of this study is to reduce electricity wastage and manpower that is required to switch highway lights ON and OFF. Highway lights are one of the most important part of the modern society as they facilitate better vision at nights while driving and provide safety on roads. Highway lights, however, consume a lot of electricity. This study proposes a system that would reduce electricity wastage with the help of embedded technology that would control the highway lights based on the sunlight and motion on the road. With the help of Light Dependent Register (LDR) sensor, day or night can be detected. When night is detected by the LDR the lights on the highway would autonomously turn ON and when day is detected it would turn OFF automatically. The lights would be at 30% intensity when it is turned ON and as soon as it detects motion on road with the help of ultrasonic sensor it would increase the intensity to 100% and when the ultrasonic sensor doesn't detect anyone on the highway the light intensity would go back to 30%. In addition, to this current sensor data is collected and stored in the database as it can be used to detect if the highway light is working or not. The system is reliable and cost-efficient as all the equipment used are less costly and available easily.

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IOT based smart street light management system

Cited by 61 publications

References 2 publications

A New Method With Swapping of Peers and Fogs to Protect User Privacy in IoT Applications

A New Method With Swapping of Peers and Fogs to Protect User Privacy in IoT Applications

Open-Source Electronics Platforms as Enabling Technologies for Smart Cities: Recent Developments and Perspectives

Algorithm for Detection of Phishing URL and Web Scraping

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