IOT-Based Smart Street Light Control Application for Smart Cities

2022 ◽  
pp. 321-333
Author(s):  
M. S. Muneshwara ◽  
M. S. Swetha ◽  
R. Anand ◽  
S. K. Pushpa ◽  
T. N. Manjunath
Keyword(s):  
Smart Cities ◽  
Light Control ◽  
Control Application

scholarly journals PEMBUATAN PROTOTYPE SISTEM PENGENDALI LAMPU RUMAH DENGAN PERANGKAT MOBILE ANDROID

2015 ◽  
Vol 14 (2) ◽  
pp. 22
Author(s):  
I G. A. K. Diafari Djuni H ◽  
I G A P Raka Agung ◽  
N. Pramaita ◽  
Made Sugiri
Keyword(s):  
Control System ◽  
Remote Control ◽  
Human Behavior ◽  
Mobile Device ◽  
Wireless Lan ◽  
Prototype System ◽  
Light Control ◽  
Lighting Control ◽  
Arduino Microcontroller ◽  
Control Application

AndroidisaLinux-basedoperatingsystemandis open source that can be developed independently so that more applications can be made. This application can also be integrated with other devices to control or control system is desirable. Media remote control or wireless (LAN) is a growing need for human behavior that want to move faster and farther range of location of residence. This research will be designed and built a prototype system controlling lights at home using Arduino microcontroller connected to mobile devices based on Android. Light control is done on a mobile device that is connected to the control system via WiFi Router lights. Wifi Router has sufficient coverage so that the owners of these devices can move more comfortably without having to control the lights via a switch on the wall of the house. The house lights controller circuit can adjust the lights ON and OFF as well as the Bright and Dim the lamp 1 and lamp 2. Lighting Control Application on mobile android devices already can set the lights on the control circuit.

scholarly journals Development of New Radar and Pyroelectric Sensors for Road Safety Increase in Cloud-Based Multi-Agent Control Application

2021 ◽  
Vol 16 (4) ◽  
pp. 76-107
Author(s):  
Leslie Robert Adrian ◽  
Ansis Avotins ◽  
Donato Repole ◽  
Olegs Tetervenoks
Keyword(s):  
Traffic Safety ◽  
Smart Cities ◽  
Environmental Parameters ◽  
Road User ◽  
Movement Direction ◽  
Street Lighting ◽  
Lighting Control ◽  
Application Systems ◽  
Multi Agent ◽  
Control Application

The paper concentrates on the design, architecture, and monitoring of smart LED street lighting control, with focus on traffic safety and safe road infrastructure. The use of a CMAS (Cloud-Based Multi-Agent System) as a possible framework is investigated. The work is based on previous developments by the authors in the production and design of close and long-range hybrid Pyroelectric Infrared (PIR) motion detection sensors. It also introduces the advances in radar-type sensors used in smart SLC (street lighting control) application systems. The proposed sensor solutions can detect the road user (vehicle or pedestrian) and determine its movement direction and approximate speed that can be used for dynamic lighting control algorithms, traffic intensity prediction, and increased safety for both driver and pedestrian traffic. Furthermore, the street lighting system infrastructure can monitor city environmental parameters, such as temperature, humidity, CO2 levels, thus increasing levels of safety and security for smart cities. Utilising other hybrid systems within intelligent street lighting applications represents a new specialisation area in both energy-saving, safety awareness, and intelligent management.

scholarly journals A REVIEW ON SMART CITIES BASED ON IOTTECHNOLOGY

2021 ◽  
Vol 6 (3) ◽  
Author(s):  
Dinesh Kumar Prajapat ◽  
Rahul Chopra
Keyword(s):  
Smart City ◽  
Smart Cities ◽  
Recent Time ◽  
Light Control ◽  
Traffic Light ◽  
Safety Issues ◽  
Smart Water ◽  
Water Supply Management ◽  
Traffic Light Control ◽  
The World

In an IOT based smart city various component like smart water supply management, traffic light control, street lightning system and many more systems are make a city to a smart city. In a smart city allthe necessary facilities such as transportation, water, energy and security etc. related issue can be solving in easy way and the community and people provide a healthy and safety environment. The world is moving forward at a fast with increasing technology in recent time. Thus, a lot of safety issues in all parts of world. So, in this paper mainly focus to provide a well deserved life of all the persons living in the cities. Generally the smart cities definition depends on geographical, environmental andeconomical.

scholarly journals Analysis on IoT based dynamic street light control system

2018 ◽  
Vol 7 (2.7) ◽  
pp. 622
Author(s):  
M Srinivas ◽  
T Naga Siva Ram ◽  
P Kanthi Aishwarya ◽  
K L. Priyanka
Keyword(s):  
Communication Channel ◽  
Smart Cities ◽  
Mobile Terminal ◽  
Maintenance Cost ◽  
Light Control ◽  
Intensity Measure ◽  
Manual Operation ◽  
Internet Connection ◽  
Alert Message ◽  
The Status

The Dynamic street lightening system is designed for energy saving through automation, which is best ever solution for electric consumption as the manual operation for the lightening system for the smart cities is difficult to operate also because of human negligence and maintenance cost is more. Light dependent resistor is used to sense the light intensity measure and transmits the statistics to micro controller and work accordingly that is if the intensity of light increases then the light will be in off mode and if the intensity of light decreases then the light will be in on mode. Through internet connection the status of street lights can be identified through a communication channel called GSM. If at all any light fails to work then alert message is send to the mobile through GSM mobile terminal. This reduces heat emissions, power consumption, maintenance, replacement costs and carbon monoxide emissions. 

Autonomous Traffic Light Control System for Smart Cities

2019 ◽  
pp. 325-335 ◽  
Author(s):  
S. Suresh Kumar ◽  
M. Rajesh Babu ◽  
R. Vineeth ◽  
S. Varun ◽  
A. N. Sahil ◽  
...  
Keyword(s):  
Control System ◽  
Smart Cities ◽  
Light Control ◽  
Traffic Light ◽  
Traffic Light Control

scholarly journals Emergency Rapid Response to Epileptic Seizures - A Novel IOT Framework for Smart Cities

2021 ◽  
Vol 22 (2) ◽  
pp. 259-272
Author(s):  
Shabana R Ziyad ◽  
Armaan Ziyad
Keyword(s):  
Epileptic Patient ◽  
Smart Cities ◽  
Epileptic Seizures ◽  
Rapid Response ◽  
Experimental Results ◽  
Sensor Data ◽  
Drug Resistant ◽  
Radar Sensors ◽  
Drug Resistant Epilepsy ◽  
Control Application

Epilepsy is a common neurological disorder that results in seizures in patients of all ages. The frequency of seizure episodes can be controlled by prescribing anti-seizure drugs. Drug-resistant epilepsy is a condition where the seizures are uncontrolled by strong medications. Such patients are at a high risk of getting seizures frequently and prone to injuries due to sudden falls. Many countries prohibit epileptic patients from driving as sudden seizure attacks can cause loss of lives and property. In the past decades immense work has been carried out in the to monitor the seizure activity in patients and alert caregivers to extend help in emergencies. The study proposes a smart health care Internet of things framework to provide immediate help to the epileptic patient during an episode while travelling in a self-driving car. In the proposed framework, the seizure alert from a wearable device of the patient is transmitted to the control application via cloud. The control application also receives data from the vision, ultrasonic, and radar sensors. The critical information of seizure alert and the sensor data commands the car to force stop. The seizure google map location of the car is sent to the patient’s caregiver as well as the registered hospital. Many applications are being developed to provide luxury and comfort to fully automated car drivers. Far from providing luxury to the driver Emergency Rapid Response to Epileptic Seizure aims to propose a solution that could save the life of an epileptic patient who is drug-resistant or prone to frequent attacks despite severe medications. The experimental results on synchonization of clouds show that the minimum time is 30 sec 30 ms and maximum time is 31 sec 63 ms. The experimental results prove that its recommended to alert the patient's caregiver directly from control application rather than alerting via cloud.

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