IoT framework for Fluctuation Enhanced Sensing

Robert Mingesz, Gergely Makan, Benjamin Balogh, Gergely Vadai, Z. Gingl

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Today, Internet of Things (IoT) is an important and very popular technical and research area, as IoT systems provide opportunity to continuously monitor our environment in a cost-effective way. One really important parameter is the quality of the air since it significantly influences comfort and health. Fluctuation Enhanced Sensing (FES) is a promising method to increase the selectivity and sensitivity of the sensors, however, most of the current implementations are not optimized for energy efficient embedded systems. In our current publication we will present a complete wireless sensor node system based on Wi-Fi communication. We describe in detail how can the data processing be shared between the sensor nodes and the server in order to provide a highly reliable and responsive system while minimizing energy consumption. We believe that the framework we built is a significant step that makes it possible for fluctuation based sensing methods to be used in everyday life. Beyond gas sensing, our method can be used in further noise diagnostic based applications and seamlessly fits into the concept of IoT.

Original languageEnglish
Title of host publication2017 International Conference on Noise and Fluctuations, ICNF 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509027606
DOIs
Publication statusPublished - Jul 19 2017
Event2017 International Conference on Noise and Fluctuations, ICNF 2017 - Vilnius, Lithuania
Duration: Jun 20 2017Jun 23 2017

Other

Other2017 International Conference on Noise and Fluctuations, ICNF 2017
CountryLithuania
CityVilnius
Period6/20/176/23/17

Fingerprint

Sensor nodes
Wi-Fi
Embedded systems
Servers
Energy utilization
Gases
Health
Communication
Sensors
Air
Internet of things
Costs

Keywords

  • FES
  • gas sensing
  • IoT
  • noise analysis
  • wireless sensor nodes

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

Cite this

Mingesz, R., Makan, G., Balogh, B., Vadai, G., & Gingl, Z. (2017). IoT framework for Fluctuation Enhanced Sensing. In 2017 International Conference on Noise and Fluctuations, ICNF 2017 [7985992] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICNF.2017.7985992

IoT framework for Fluctuation Enhanced Sensing. / Mingesz, Robert; Makan, Gergely; Balogh, Benjamin; Vadai, Gergely; Gingl, Z.

2017 International Conference on Noise and Fluctuations, ICNF 2017. Institute of Electrical and Electronics Engineers Inc., 2017. 7985992.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Mingesz, R, Makan, G, Balogh, B, Vadai, G & Gingl, Z 2017, IoT framework for Fluctuation Enhanced Sensing. in 2017 International Conference on Noise and Fluctuations, ICNF 2017., 7985992, Institute of Electrical and Electronics Engineers Inc., 2017 International Conference on Noise and Fluctuations, ICNF 2017, Vilnius, Lithuania, 6/20/17. https://doi.org/10.1109/ICNF.2017.7985992
Mingesz R, Makan G, Balogh B, Vadai G, Gingl Z. IoT framework for Fluctuation Enhanced Sensing. In 2017 International Conference on Noise and Fluctuations, ICNF 2017. Institute of Electrical and Electronics Engineers Inc. 2017. 7985992 https://doi.org/10.1109/ICNF.2017.7985992
Mingesz, Robert ; Makan, Gergely ; Balogh, Benjamin ; Vadai, Gergely ; Gingl, Z. / IoT framework for Fluctuation Enhanced Sensing. 2017 International Conference on Noise and Fluctuations, ICNF 2017. Institute of Electrical and Electronics Engineers Inc., 2017.
@inproceedings{0bf5f098a1874dc5be210f65aca65259,
title = "IoT framework for Fluctuation Enhanced Sensing",
abstract = "Today, Internet of Things (IoT) is an important and very popular technical and research area, as IoT systems provide opportunity to continuously monitor our environment in a cost-effective way. One really important parameter is the quality of the air since it significantly influences comfort and health. Fluctuation Enhanced Sensing (FES) is a promising method to increase the selectivity and sensitivity of the sensors, however, most of the current implementations are not optimized for energy efficient embedded systems. In our current publication we will present a complete wireless sensor node system based on Wi-Fi communication. We describe in detail how can the data processing be shared between the sensor nodes and the server in order to provide a highly reliable and responsive system while minimizing energy consumption. We believe that the framework we built is a significant step that makes it possible for fluctuation based sensing methods to be used in everyday life. Beyond gas sensing, our method can be used in further noise diagnostic based applications and seamlessly fits into the concept of IoT.",
keywords = "FES, gas sensing, IoT, noise analysis, wireless sensor nodes",
author = "Robert Mingesz and Gergely Makan and Benjamin Balogh and Gergely Vadai and Z. Gingl",
year = "2017",
month = "7",
day = "19",
doi = "10.1109/ICNF.2017.7985992",
language = "English",
booktitle = "2017 International Conference on Noise and Fluctuations, ICNF 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - IoT framework for Fluctuation Enhanced Sensing

AU - Mingesz, Robert

AU - Makan, Gergely

AU - Balogh, Benjamin

AU - Vadai, Gergely

AU - Gingl, Z.

PY - 2017/7/19

Y1 - 2017/7/19

N2 - Today, Internet of Things (IoT) is an important and very popular technical and research area, as IoT systems provide opportunity to continuously monitor our environment in a cost-effective way. One really important parameter is the quality of the air since it significantly influences comfort and health. Fluctuation Enhanced Sensing (FES) is a promising method to increase the selectivity and sensitivity of the sensors, however, most of the current implementations are not optimized for energy efficient embedded systems. In our current publication we will present a complete wireless sensor node system based on Wi-Fi communication. We describe in detail how can the data processing be shared between the sensor nodes and the server in order to provide a highly reliable and responsive system while minimizing energy consumption. We believe that the framework we built is a significant step that makes it possible for fluctuation based sensing methods to be used in everyday life. Beyond gas sensing, our method can be used in further noise diagnostic based applications and seamlessly fits into the concept of IoT.

AB - Today, Internet of Things (IoT) is an important and very popular technical and research area, as IoT systems provide opportunity to continuously monitor our environment in a cost-effective way. One really important parameter is the quality of the air since it significantly influences comfort and health. Fluctuation Enhanced Sensing (FES) is a promising method to increase the selectivity and sensitivity of the sensors, however, most of the current implementations are not optimized for energy efficient embedded systems. In our current publication we will present a complete wireless sensor node system based on Wi-Fi communication. We describe in detail how can the data processing be shared between the sensor nodes and the server in order to provide a highly reliable and responsive system while minimizing energy consumption. We believe that the framework we built is a significant step that makes it possible for fluctuation based sensing methods to be used in everyday life. Beyond gas sensing, our method can be used in further noise diagnostic based applications and seamlessly fits into the concept of IoT.

KW - FES

KW - gas sensing

KW - IoT

KW - noise analysis

KW - wireless sensor nodes

UR - http://www.scopus.com/inward/record.url?scp=85027993994&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85027993994&partnerID=8YFLogxK

U2 - 10.1109/ICNF.2017.7985992

DO - 10.1109/ICNF.2017.7985992

M3 - Conference contribution

AN - SCOPUS:85027993994

BT - 2017 International Conference on Noise and Fluctuations, ICNF 2017

PB - Institute of Electrical and Electronics Engineers Inc.

ER -