Smart water management using IOT

Wadekar, Sayali; Vakare, Vinayak; Prajapati, Ramratan; Yadav, Shivam; Yadav, Vijaypal

doi:10.1109/wecon.2016.7993425

Cited by 44 publications

(15 citation statements)

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“…These existing systems make use of water meter or embedded technology which is difficult to install and time consuming. The water also is sent directly which uses a sensor to detect the water content and as per that the billing is done [4].…”

Section: Existing Systemmentioning

confidence: 99%

Secured and Automated Water Management Powered by Arduino

B R*,

K R,

2020

IJITEE

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The water crisis everywhere on earth today, with the current state, correct measures can still be taken to avoid the crisis from worsening. There is an increasing awareness that the water resources are limited and need to be protected both in terms of quantity and quality. In recent years, the number of people deprived of access to clean drinking water has increased substantially. So, there is a need for proper measures aiming at the preservation of water resources in terms of quality and quantity. In this project taking a locality to reduce the water wastage problems. This model going to make use of different tools like Arduino board, GSM module, sensor and solenoid valve to supply the water to a locality as per their requirements. This will help so that there won’t be any wastage of water and illegal use of the water for one’s own profit.

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Section: Existing Systemmentioning

confidence: 99%

Secured and Automated Water Management Powered by Arduino

B R*,

K R,

2020

IJITEE

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“…WSNs are used in many domains, e.g., military, industrial, environmental, residential, and health care [25,26]. Applications include smart homes (systems based on own Wi-Fi platforms [27], or commercial: ESP8266 [28,29]) to smart cities (including smart transportation [30], smart governance [31,32], and smart grid [32])smart utilities(especially water [33,34,35] and energy management [33,35] systems) to smart cars (including software defined networks [36], automotive applications [37], smart parking systems based on ZigBee platforms [38], and car security-based on Arduino Uno board [39]), and precision agriculture (mainly smart farming and irrigation with Wi-Fi platforms, such as ESP8266 [40] and ZigBee platforms, such as eZ430 [41] or 3G/4G/Wi-Fi connections [42] to e-health solutions (mainly patient monitoring and support with Raspberry Pi board [43], or with ZigBee platforms, such as Xbee [44], or with Bluetooth [45]). Depending on their requirements and sensor capabilities, one can define WSNs in terms of size (small to very large scale), sensors’ capacity (homogeneous to heterogeneous), topology, and mobility (static, mobile, and hybrid) [46].…”

Section: Related Workmentioning

confidence: 99%

Design of Wireless Sensors for IoT with Energy Storage and Communication Channel Heterogeneity

Borza

Machedon-Pisu

Hamza-Lup

2019

Sensors

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Autonomous Wireless Sensors (AWSs) are at the core of every Wireless Sensor Network (WSN). Current AWS technology allows the development of many IoT-based applications, ranging from military to bioengineering and from industry to education. The energy optimization of AWSs depends mainly on: Structural, functional, and application specifications. The holistic design methodology addresses all the factors mentioned above. In this sense, we propose an original solution based on a novel architecture that duplicates the transceivers and also the power source using a hybrid storage system. By identifying the consumption needs of the transceivers, an appropriate methodology for sizing and controlling the power flow for the power source is proposed. The paper emphasizes the fusion between information, communication, and energy consumption of the AWS in terms of spectrum information through a set of transceiver testing scenarios, identifying the main factors that influence the sensor node design and their inter-dependencies. Optimization of the system considers all these factors obtaining an energy efficient AWS, paving the way towards autonomous sensors by adding an energy harvesting element to them.

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“…They overcome the technical challenges such as sensor selection and control over wireless network by adopting appropriate algorithm for system design. Wadekar, Vakare and Prajapati [10] in their paper, design a system to limit the usage of water. They set up this system in residential societies and continuously monitor the level of water tank.…”

Section: Related Workmentioning

confidence: 99%

IoT Based Smart Water Quality Monitoring and Prediction System

Kamidi,

Sabbi,

Sanniti

2019

IJEAT

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As indicated by Human Rights Watch, twenty million individuals in our nation are as yet drinking water defiled with arsenic. The World wellbeing Organization (WHO) has likewise expressed this emergency as "the biggest mass harming of a populace ever". To diminish the water related ailments and avoid water populace, we need to quantify water parameters, for example, ph, turbidity, conductivity, temperature and so on. Conventional approach of water observing requires gathering information from different sources physically. A while later examples will send lab for testing and breaking down. So as to spare time utilization and diminishing manual exertion my testing supplies will be put in any water source. Thus, this model can distinguish contamination remotely and take essential activities. The primary objective of this paper to assemble a Sensor-based Water Quality Monitoring System. Arduino Mega 2560 go about as a base station and information from sensor hubs will be send to it. For the scholastic reason, this paper exhibits a little model of sensor systems comprising of temperature, water level, stream and ph. At that point ph and temperature sensor esteems were sent cloud stage (ARTIK cloud) and showed as a graphical portrayal on a neighborhood PC. In addition, GSM shield (SIM808) is associated with Arduino Mega which thinks about sensor esteems to edge esteems and sends a text-based notification to the operator if the got esteem is above or underneath the edge esteem. The aftereffects of this undertaking are talked about in the outcome area of the paper. We tried three water tests from three diverse water sources, (for example, modern water, faucet water and pool water). Three water tests gathered from three distinctive swimming pools.(Except one example) Ph esteem found in rest of the examples were in typical range (temperature esteem between 26-27'C). Result segment (in page 20) clarifies our venture discoveries in subtleties.

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Smart water management using IOT

Cited by 44 publications

References 0 publications

Secured and Automated Water Management Powered by Arduino

Secured and Automated Water Management Powered by Arduino

Design of Wireless Sensors for IoT with Energy Storage and Communication Channel Heterogeneity

IoT Based Smart Water Quality Monitoring and Prediction System

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