WG3 – Environmental monitoring and sensing

Environmental Monitoring and Sensing

Empowering Bioelectrochemical Systems (BEs) and Microbial Fuel Cells (MFCs) with Smart Sensors and Embedded Intelligence for Environmental Resilience.

WG Description

Workgroup 3 brings together two distinctive communities that represent the two fundamental parts of a WSN:

  • the community of sensors, for the development of devices to be integrated into a detection network for monitoring environmental parameters;
  • the embedded systems community, for the design of an efficient and autonomous WSN (powered by MFCs) for the real-time transmission of sensor data.

This WGs aims at bridging the gap between these two communities by collaborative development solutions focused on a real case of a holistic system : an Autonomous Ambient Intelligence Architecture for Environmental Rehabilitation.

 

aims or objectives
  • Use BES as permanent and renewable battery for Wireless Sensor Networks and Ubiquitous Environment Architecture: in particular study of MFCs configuration for several scenarios.

  • Investigate the sensing capabilities of BEs from physical and chemical properties to optimized hardware platform, supporting specific embedded operating systems.

  • Integrated MFC powered Lab-On-Chip systems dedicated to small quantities of substances (medical and environmental applications).

detailed description of the WG

In fact, in monitoring activity, we consider:

1) to use the BES as power supply allowing effective operation of autonomous efficient WSN. So, as described in the Memorandum of Understanding, One WG3 activity will be focused on the development and testing of autonomous efficient WSN. The scientific field is in the contest of low power communications.

2) to use the BES as detector. These activities will be performed for evaluation of sensing capabilities of BESs, optimization of hardware platforms, operating systems and MFCs configuration for several scenarios.

3)  to include activities of the design of innovative sensors like System-On-Glass for Lab-On-Chip powered by MFC. These systems, currently designed for medical tests, allow in-situ and real-time the detection of small quantities of substances, like for acid rain evaluation. One challenge is the reduction of power consumption requested for operation of these devices in order to can use MFC as power source.

The title of first task is “autonomous efficient WSN”.

WG Members

WG Leader: Prof Fabien MIEYEVILLE

University of Lyon – fabien.mieyeville@univ-lyon1.fr

Member

Contacts

Dr Pınar GÜLTEKIN

Duzce University

Dr Andrea PIETRELLI

Université Claude Bernard Lyon

Dr Juris BURLAKOVS

University of Latvia

Dr Parisa GÖKER

Bilecik Şeyh Edebali University

Prof Mateo GAŠPAROVIĆ

Faculty of Geodesy, University of Zagreb
mateo.gasparovic@geof.unizg.hr

Dr Pranas MIERAUSKAS

Mykolas Romeris University

Dr Zvi WEINSTEIN

Israel Smart cities Institute
zviw@nonstop.net.il

Prof Sven KERZENMACHER

University of Bremen

Dr Szymon MALINOWSKI

Lublin University of Technology

Dr Luciana PEIXOTO

University of Minho

Prof Ales LAPANJE

Jozef Stefan Institute

Dr Marina SCIBAN

University of Novi Sad

Ms Linda GRINBERGA

Latvia University of Life Sciences and Technologies

Dr Gordana KAPLAN

Eskisehir Technical University

Prof Giampiero DE CESARE

University of Rome “La Sapienza”

Prof Vincenzo FERRARA

Sapienza University of Rome

Prof Fabien MIEYEVILLE

University of Lyon

Prof Arben GJUKAJ

University of Prishtina

Prof Bruno ALLARD

Prof Paula LÓPEZ MARTÍNEZ

Universidade de Santiago de Compostela

Prof Ioannis IEROPOULOS

University of Southampton

Dr Deepu JOHN

University College Dublin

Dr Andreas MIDDENDORF

Fraunhofer Institut für Zuverlässigkeit und Mikrointegration – Fraunhofer Insitute for Reliability and Microintegration

Dr Marie ROBIN

Université Claude Bernard Lyon

Mr Thierry COURCIER

Université de Sherbrooke
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Publication

Nicula, N. O., Lungulescu, E. M., Ieropoulos, I. A., Rimbu, G. A., & Csutak, O. (2022). Nutrients Removal from Aquaculture Wastewater by Biofilter/Antibiotic-Resistant Bacteria Systems. Water, 14(4), 607.

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Publication

Kaplan, G., Aydinli, H. O., Pietrelli, A., Mieyeville, F., & Ferrara, V. (2022). Oil-Contaminated Soil Modeling and Remediation Monitoring in Arid Areas Using Remote Sensing. Remote Sensing, 14(10), 2500.

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Publication

Kaplan, G., Rashid, T., Gasparovic, M., Pietrelli, A., & Ferrara, V. (2022). Monitoring war‐generated environmental security using remote sensing: A review. Land Degradation & Development.

 

Past events

EVENT

4. 19-21 January 2022: PHOENIX conference

EVENT

Virtual meetings in 2021 : March, September and December

EVENT

PHOENIX COST Management Committee Meeting (MC3) 1 October 2021