Web based water quality monitoring with sensor network: Employing ZigBee and WiMax technologies

Silva, Steven; Nguyen, H.N.; Tiporlini, Valentina; Alameh, Kamal

doi:10.1109/honet.2011.6149804

Cited by 31 publications

(11 citation statements)

References 4 publications

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“…There have been several implementations of WSN-based WQM systems that have been tested or deployed in Australia [Silva et al 2011;Rao et al 2013], China [Jiang et al 2009;Jin et al 2010 [Wiranto et al 2015], Ireland [O'Flyrm et al 2007;Regan et al 2009;O'Connor et al 2012;Garcia et al 2012;Murphy et al 2015], Malawi [Zennaro et al 2009], Malaysia [Rasin and Abdullah 2009], Mexico [Curiel et al 2016], Peru [Ritter et al 2014], Portugal [Postolache et al 2014], Tanzania [Faustine et al 2014], Turkey [Tuna et al 2014], and the United States [Yang et al 2002;Seders et al 2007;Burke and Allenby 2014;Sun et al 2016]. Details of these systems are summarized in Tables VIII and IX. In addition to these implementations, researchers in China [Yang and Pan 2010;Chen et al 2011], India [Verma and Prachi 2012], the kingdom of Saudi Arabia [Aleisa 2013], and Zambia [Chaamwe 2010] describe the limitations of the current WQM practice adopted in their region, and they propose the idea and present the benefit of automating WQM through the adoption of WSN technologies.…”

Section: Implementations Of Wsn-based Wqm Systemsmentioning

confidence: 99%

“…These different implementations agree on a general WSN-based WQM framework, which includes the use of WSNs, a local monitoring station (or BS), and a remote monitoring station, as described is Section 5.1. However, most of the existing solutions only focus on the design and implementation of the local monitoring network (i.e., a WSN and local monitoring station), either through laboratory feasibility testing [Chaamwe 2010;Wang et al 2011;Chen et al 2011] or field deployment [Seders et al 2007; O'Flyrm et al 2007;Sun et al 2016], and some of the references actually include the final interconnection with the remote monitoring station [Yang and Pan 2010;Silva et al 2011;Alkandari et al 2011;O'Connor et al 2012;Faustine et al 2014]. Several works provide automated warning signals displayed on computer screens or communicated to decision makers via text or email.…”

Section: Implementations Of Wsn-based Wqm Systemsmentioning

confidence: 99%

“…These include the ability to replace expensive laboratory equipment that may be old (if not obsolete) with the lower-cost distributed sensor nodes and the ability to perform the analysis on site, thus removing the need to transport the samples from the monitoring sites to the laboratory for analysis, saving large amounts of human time and cost. Additionally, using WSNs for WQM has been shown to reduce the time and costs required to train staff for the collection and transportation of the samples, as well as for the laboratory analysis and the data recording, as required by the traditional manual approach for sampling water Silva et al 2011;Adamo et al 2015]. To design and deploy WSNs to monitor freshwater sources, different factors are considered, including the sensing capabilities of the sensor nodes, the type of communication (radio or acoustic), signal processing, and network topology.…”

Section: Introductionmentioning

confidence: 99%

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Water Quality Monitoring Using Wireless Sensor Networks

Adu-Manu

Tapparello

Heinzelman

et al. 2017

ACM Trans. Sen. Netw.

224

128

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Water is essential for human survival. Although approximately 71% of the world is covered in water, only 2.5% of this is fresh water; hence, fresh water is a valuable resource that must be carefully monitored and maintained. In developing countries, 80% of people are without access to potable water. Cholera is still reported in more than 50 countries. In Africa, 75% of the drinking water comes from underground sources, which makes water monitoring an issue of key concern, as water monitoring can be used to track water quality changes over time, identify existing or emerging problems, and design effective intervention programs to remedy water pollution. It is important to have detailed knowledge of potable water quality to enable proper treatment and also prevent contamination. In this article, we review methods for water quality monitoring (WQM) from traditional manual methods to more technologically advanced methods employing wireless sensor networks (WSNs) for in situ WQM. In particular, we highlight recent developments in the sensor devices, data acquisition procedures, communication and network architectures, and power management schemes to maintain a long-lived operational WQM system. Finally, we discuss open issues that need to be addressed to further advance automatic WQM using WSNs.

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Section: Implementations Of Wsn-based Wqm Systemsmentioning

confidence: 99%

Section: Implementations Of Wsn-based Wqm Systemsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Water Quality Monitoring Using Wireless Sensor Networks

Adu-Manu

Tapparello

Heinzelman

et al. 2017

ACM Trans. Sen. Netw.

224

128

View full text Add to dashboard Cite

show abstract

“…In [9] a framework for monitoring water quality by incorporating bacterial contamination of water for open water bodies using WSN (consisting of sensors for sensing parameters of interest), UV Light to probe the contamination of water and Fluorescence as a monitoring tool is proposed. [10] presents a web based wireless sensor network [1], [2] for monitoring water pollution by means of Zigbee and WiMax technologies. This system would have a local Zigbee network that will be capable of measuring various water quality parameters, a WiMax network and web based monitoring with the help of a controlling computer.…”

Section: Related Workmentioning

confidence: 99%

Real Time Water Quality Monitoring System

Barabde¹

2015

IJIRCCE

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ABSTRACT:Water pollution is one of the biggest fears for the green globalization. To prevent the water pollution, first we have to estimate the water parameters like pH, turbidity, conductivity etc, as the variations in the values of these parameters point towards the presence of pollutants. At present, water parameters are detected by chemical test or laboratory test, where the testing equipments are stationary and samples are provided to testing equipments. Thus the current water quality monitoring system is a manual system with tedious process and is very time consuming. In order to increase the frequency, the testing equipments can be placed in the river water and detection of pollution can be made remotely. This paper proposes a Sensor-Based Water Quality Monitoring System. The system architecture consists of data monitoring nodes, a base station and a remote station. All these stations are connected using wireless communication link. The data from nodes is send to the base station consisting of ARM controller designed for special compact space application. Data collected by the base station such as pH, turbidity, conductivity, etc is sent to the remote monitoring station. Data collected at the remote site can be displayed in visual format on a server PC with the help of MATLAB and is also compared with standard values. If the obtained value is above the threshold value automated warning SMS alert will be sent to the agent. The uniqueness of our proposed paper is to obtain the water monitoring system with high frequency, high mobility, and low powered.

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“…This way we can contribute to my countries development and enrich my knowledge in the field of internet of things. There is no better incentive than saving a children's life and ensure him or her healthier life [4]. The main aim of this paper is to develop a real time internet of things based small scale, cost effective prototype with the help of available sensors.…”

Section: Introductionmentioning

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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Web based water quality monitoring with sensor network: Employing ZigBee and WiMax technologies

Cited by 31 publications

References 4 publications

Water Quality Monitoring Using Wireless Sensor Networks

Water Quality Monitoring Using Wireless Sensor Networks

Real Time Water Quality Monitoring System

IoT Based Smart Water Quality Monitoring and Prediction System

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