A Smart Sensor Network for Sea Water Quality Monitoring

Adamo, Francesco; Attivissimo, Filippo; Carducci, Carlo Guarnieri Calò; Lanzolla, Anna Maria Lucia

doi:10.1109/jsen.2014.2360816

Cited by 129 publications

(78 citation statements)

References 14 publications

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“…WSN-based monitoring infrastructures have been developed for a wide range of scenarios [39,40], and several applications can be found for environmental monitoring [41,42]. The deployment of WSNs in coastal and marine environments has been widely discussed [43,44]: anyway, the greater part of the applications focus on the measurement of water quality [45] and atmospheric parameters [46], while to our knowledge, no solution exists focusing on beach morphology as the one proposed in this paper.…”

Section: State Of the Artmentioning

confidence: 99%

A Wireless Sensor Network Framework for Real-Time Monitoring of Height and Volume Variations on Sandy Beaches and Dunes

Pozzebon

Andreadis

Bertoni

et al. 2018

IJGI

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Abstract:In this paper, the authors describe the realization and testing of a Wireless Sensor Network (WSN) framework aiming at measuring, remotely and in real time, the level variations of the sand layer of sandy beaches or dunes. The proposed framework is based on an innovative low cost sensing structure, able to measure the level variations with a 5-cm degree of precision and to locally transfer the acquired data through the ZigBee protocol. The described sensor is integrated in a wider ZigBee wireless sensor network architecture composed of an array of sensors that, arranged according to a grid layout, can acquire the same data at different points, allowing the definition of a dynamic map of the area under study. The WSN is connected to a local Global System for Mobile Communications (GSM) gateway that is in charge of data processing and transmission to a cloud infrastructure through a General Packet Radio Service (GPRS) connection. Data are then stored in a MySQL database and made available any time and anywhere through the Internet. The proposed architecture has been tested in a laboratory, to analyze data acquisition, processing timing and power consumption and then in situ to prove the effectiveness of the system. The described infrastructure is expected to be integrated in a wider IoT architecture including different typologies of sensors, in order to create a multi-purpose tool for the study of coastal erosive processes.

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Section: State Of the Artmentioning

confidence: 99%

A Wireless Sensor Network Framework for Real-Time Monitoring of Height and Volume Variations on Sandy Beaches and Dunes

Pozzebon

Andreadis

Bertoni

et al. 2018

IJGI

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“…It maintains records of current and historical water quality parameter status, which is easily accessible by the users. In [19] a wireless sensor network system is designed in such a way that the data collected from different sensor nodes are transferred to the base station or sub-base node via monitoring station by using a GSM network. The system measures the quality of fresh water and it uses a daylight harvester for better optimization of power management.…”

Section: Related Workmentioning

confidence: 99%

Design of smart sensors for real time drinking water quality monitoring and contamination detection in water distributed mains

Priya¹,

Shenbagalakshmi²,

Revathi³

2017

IJET

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Drinking Water Distribution Systems facilitate to carry portable water from water resources such as reservoirs, river, and water tanks to industrial, commercial and residential consumers through complex buried pipe networks. Determining the consequences of a water contamination event is an important concern in the field of water systems security and in drinking water distribution systems. The proposed work is based on the development of low cost fuzzy based water quality monitoring system using wireless sensor networks which is capable of measuring physiochemical parameters of water quality such as pH, temperature, conductivity, oxidation reduction potential and turbidity. Based on selected parameters a sensing unit is developed along with several microsystems for analog signal conditioning, data aggregation, sensor data analysis and logging, and remote representation of data to the consumers. Finally, algorithms for fusing the real time data and decision making using fuzzy logic at local level are developed to assess the water contamination risk. Based on the water contamination level in the distribution pipeline the drinking water quality is classified as acceptable/reject/desirable. When the contamination is detected, the sensing unit with ZigBee sends signals to close the solenoid valve inside the pipeline to prevent the flow of contaminated water supply and it intimates the consumers about drinking water quality through mobile app. Experimental results indicate that this low cost real time water quality monitoring system acts as an ideal early warning system with best detection accuracy. The derived solution can also be applied to different IoT (Internet of Things) scenario such as smart cities, the city transport system etc.

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“…The system includes multiple useful features, but it is rather complicated, which leads to expensive devices. Another example can be found in [38], where a system for evaluating seawater quality is presented. The authors conclude that the additional complexity required by ISO/IEC/IEEE 21451 command packet recognition increases the communications lag by 50%.…”

Section: Plug-and-play Mechanisms For Transducer Networkmentioning

confidence: 99%

Home Automation System Based on Intelligent Transducer Enablers

Suárez-Albela

Fraga‐Lamas

Fernández‐Caramés

et al. 2016

Sensors

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This paper presents a novel home automation system named HASITE (Home Automation System based on Intelligent Transducer Enablers), which has been specifically designed to identify and configure transducers easily and quickly. These features are especially useful in situations where many transducers are deployed, since their setup becomes a cumbersome task that consumes a significant amount of time and human resources. HASITE simplifies the deployment of a home automation system by using wireless networks and both self-configuration and self-registration protocols. Thanks to the application of these three elements, HASITE is able to add new transducers by just powering them up. According to the tests performed in different realistic scenarios, a transducer is ready to be used in less than 13 s. Moreover, all HASITE functionalities can be accessed through an API, which also allows for the integration of third-party systems. As an example, an Android application based on the API is presented. Remote users can use it to interact with transducers by just using a regular smartphone or a tablet.

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A Smart Sensor Network for Sea Water Quality Monitoring

Cited by 129 publications

References 14 publications

A Wireless Sensor Network Framework for Real-Time Monitoring of Height and Volume Variations on Sandy Beaches and Dunes

A Wireless Sensor Network Framework for Real-Time Monitoring of Height and Volume Variations on Sandy Beaches and Dunes

Design of smart sensors for real time drinking water quality monitoring and contamination detection in water distributed mains

Home Automation System Based on Intelligent Transducer Enablers

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