A system for monitoring water quality in a large aquatic area using wireless sensor network technology

Demetillo, Alexander T.; Japitana, Michelle V.; Taboada, Evelyn B.

doi:10.1186/s42834-019-0009-4

Cited by 114 publications

(75 citation statements)

References 31 publications

(33 reference statements)

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“…The comparison of proposed systems to similar systems published by other researchers on some aspects is summarised as follows. Compared to other published research results in [7], [8], [10], and [12], the proposed system has shown work as expected when implemented in the actual field since it has been tested on actual river with data acquisition and base station were separated in the distance of 100 m while most other similar systems were tested in laboratory scale. The use of the blynk cloud application for storing and visualizing the measured data enabled the data could be accessed anywhere so that it supported mobility compared to when the measured data were stored in a dedicated computer.…”

Section: Discussionmentioning

confidence: 68%

“…This scenario is less practicable if the proposed system would be implemented in a remote area in a long period of time since it will need frequent activities to check the condition of batteries and possible replacement with the new one. Energy harvesting for example such as proposed in [20] or by using photovoltaic (PV) such as proposed in [8] could be considered to be applied. Moreover, the warning message when any water parameter above its standard such as using buzzer [21], Short Message Services (SMS) of Global System Mobile (GSM) networks [13] or Telegram application [19] would be useful.…”

Section: Discussionmentioning

confidence: 99%

“…This architecture has limitations since the data from the station board was sent to the Personal Computer (PC) offers less mobility. Furthermore, Zigbee protocol was proposed for water quality monitoring using wireless sensor networks (WSN) [8]. The limitation of Zigbee protocol is its data communication range so that it is considerably not suitable if implemented for large or long spans of area such as in a river [9].…”

Section: Introductionmentioning

confidence: 99%

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Portable Machine to Machine Systems for Distance Phisico-Chemical Parameters of River Water Monitoring

2020

IJATCSE

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River water quality monitoring is very important since river water is also used as a source of fresh water besides for agricultural and farming purposes. Manual river water quality monitoring which is done by taking river water samples in a period of time and analyzing it in the laboratory has limitations in that the actual condition of river water could not be monitored continuously. The objective of this article is to monitor the physico-chemical parameters of river water including potential of Hydrogen (pH), temperature, and Total Dissolved Solid (TDS) continuously in a distance. As a prototype, the proposed architecture facilitates the river water quality could be monitored from a long distance far away from the river location as from the government office building. The proposed system consists of data acquisition part, base station part, wireless data communication system, and cloud for storing and displaying measured parameters. The proposed system was implemented by using two LoRa32u4 boards, a NodeMCU board, and blynk cloud platform. Compared to the commercial measuring instrument, the laboratory scale testing results showed that the measurements of the proposed system have the average measurement difference ( p  ) of 0.2%, 0.7%, and 4.4% for TDS, pH and temperature respectively. The proposed system was tested in an actual field where the data acquisition part was located at the river in Ngawi regency while the base station part was placed 100 m apart. The actual field test results showed that the proposed system was able to measure all three water parameters consistently.

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Section: Discussionmentioning

confidence: 68%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Portable Machine to Machine Systems for Distance Phisico-Chemical Parameters of River Water Monitoring

2020

IJATCSE

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“…Water is one of the most important natural resources on the earth. 1 There are alkali metal ions such as Na + and K + and alkaline earth metal ions such as Mg 2+ and Ca 2+ in the water, which are essential nutrient elements for the living organism. However, some heavy metal ions such as Pb 2+ , Hg 2+ , and Cd 2+ are considered as the typical water pollutants 2 because they are nonbiodegradable and can accumulate in organisms through the food chain.…”

Section: Introductionmentioning

confidence: 99%

Wireless Microfluidic Sensor for Metal Ion Detection in Water

Liang

Zhang

et al. 2021

ACS Omega

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In the present work, a wireless microfluidic sensor based on low-temperature cofired ceramic (LTCC) technology for real-time detection of metal ions in water is proposed. The wireless sensor is composed of a planar spiral inductor and parallel plate capacitor (LC) resonant antenna, which integrates with the microchannel in the LTCC substrate between the capacitor plates. Aqueous solutions of Pb(NO 3 ) 2 , Cd(NO 3 ) 2 , Mg(NO 3 ) 2 , Ca(NO 3 ) 2 , NaNO 3 , and KNO 3 with concentrations of 0–100 mM were tested with the sensors. The metal ion and its concentration in water can be tested by the amplitude of the reflection coefficient ( S 11 ) and the resonance frequency ( f r ) of the wireless microfluidic sensor. The metal ion species can be distinguished from the wireless response behavior of the sensor. The detection limit of the sensor for the selected metal ionic solutions could reach as low as 5 μM. The normalized sensitivity of the sensor is 0.47%, which is higher than that of the reported liquid microfluidic sensors based on microwave resonators. The wireless microfluidic sensor of this study is promising for rapid and convenient detection of heavy metal ion pollutants in the industrial wastewater.

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“…These vehicles may not be capable of traveling the long range required for a WARM application. Moreover, static SNs powered by a solar panel [39], wireless power transmission [40], and network-connected sensors using ZigBee [41] need a large number of BSs for wider coverage. Satellite-based wireless data transmission is used in [42] for remote locations, but it is cost-intensive when using a large number of SNs.…”

Section: Introductionmentioning

confidence: 99%

LDAP: Lightweight Dynamic Auto-Reconfigurable Protocol in an IoT-Enabled WSN for Wide-Area Remote Monitoring

Rahman

Wahid

2020

Remote Sensing

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IoT (Internet of Things)-based remote monitoring and controlling applications are increasing in dimensions and domains day by day. Sensor-based remote monitoring using a Wireless Sensor Network (WSN) becomes challenging for applications when both temporal and spatial data from widely spread sources are acquired in real time. In applications such as environmental, agricultural, and water quality monitoring, the data sources are geographically distributed, and have little or no cellular connectivity. These applications require long-distance wireless or satellite connections for IoT connectivity. Present WSNs are better suited for densely populated applications and require a large number of sensor nodes and base stations for wider coverage but at the cost of added complexity in routing and network organization. As a result, real time data acquisition using an IoT connected WSN is a challenge in terms of coverage, network lifetime, and wireless connectivity. This paper proposes a lightweight, dynamic, and auto-reconfigurable communication protocol (LDAP) for Wide-Area Remote Monitoring (WARM) applications. It has a mobile data sink for wider WSN coverage, and auto-reconfiguration capability to cope with the dynamic network topology required for device mobility. The WSN coverage and lifetime are further improved by using a Long-Range (LoRa) wireless interface. We evaluated the performance of the proposed LDAP in the field in terms of the data delivery rate, Received Signal Strength (RSS), and Signal to Noise Ratio (SNR). All experiments were conducted in a field trial for a water quality monitoring application as a case study. We have used both static and mobile data sinks with static sensor nodes in an IoT-connected environment. The experimental results show a significant reduction (up to 80%) of the number of data sinks while using the proposed LDAP. We also evaluated the energy consumption to determine the lifetime of the WSN using the LDAP algorithm.

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A system for monitoring water quality in a large aquatic area using wireless sensor network technology

Cited by 114 publications

References 31 publications

Portable Machine to Machine Systems for Distance Phisico-Chemical Parameters of River Water Monitoring

Portable Machine to Machine Systems for Distance Phisico-Chemical Parameters of River Water Monitoring

Wireless Microfluidic Sensor for Metal Ion Detection in Water

LDAP: Lightweight Dynamic Auto-Reconfigurable Protocol in an IoT-Enabled WSN for Wide-Area Remote Monitoring

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