Wireless Sensor Network Components for Air Pollution Monitoring in the Urban Environment: Criteria and Analysis for Their Selection

Hejlová, Vendula; Voženílek, Vít

doi:10.4236/wsn.2013.512027

Cited by 21 publications

(5 citation statements)

References 4 publications

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“…Data collection is still often a limiting factor to both the quality and effectiveness of EA but also impacting the follow-up process, which should contribute to learning and adapting measures, in case they fail to unfold their potential to mitigate harm to environmental resources (González del Campo 2012, Cillier et al 2022. While other fields such as air quality monitoring have a longer tradition in automated data collection to be used for EA (Hejlová et al 2013, Kumar et al 2015, biodiversity data is to the majority collected on site by experienced experts during environmental impact assessment (EIA) processes.…”

Section: Automated Digital Biodiversity Data Collection Processing An...mentioning

confidence: 99%

AI Will Change EA Practice – but Are We Ready for It? A Call for Discussion Based on Developments in Collecting and Processing Biodiversity Data

Sandfort,

Uhlhorn,

Geissler

et al. 2023

Preprint

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The opportunities and potential of Artificial Intelligence (AI) in Environmental Assessment (EA) are often mentioned. However, do we in the EA field understand the implications of what is happening in other biological sciences, and are we preparing for the changes that are coming? This interdisciplinary letter focuses on AI-driven developments in biodiversity data and analysis as a starting point for stimulating discussion about what AI means in practice for the field of EA. We highlight implications for training, transformation of practice and decision making as first steps in a research agenda.

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Section: Automated Digital Biodiversity Data Collection Processing An...mentioning

confidence: 99%

AI Will Change EA Practice – but Are We Ready for It? A Call for Discussion Based on Developments in Collecting and Processing Biodiversity Data

Sandfort,

Uhlhorn,

Geissler

et al. 2023

Preprint

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“…A wireless sensor system consists of sensors that convert physical parameters in the Remote Terminal Unit (RTU) and wirelessly send readings to the web server. Wireless sensor network is advantageous in that data acquisition can be conducted in real time [7]. An overview of a WSN system is shown in Figure 1.…”

Section: Realization Of Systemmentioning

confidence: 99%

Wireless Sensor System for Prediction of Carbon Monoxide Concentration using Fuzzy Time Series

Suryono¹,

Saputra²,

Surarso³

et al. 2017

EECSI

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Carbon monoxide (CO) concentration produced from incomplete material burning affects both work health and safety. A smart system capable of early detection of carbon monoxide (CO) concentration is therefore required. This research develops a carbon monoxide sensor detection capability using a wireless sensor system that transmits data to the web server via internet connection. A semiconductor CO sensor is installed in a remote terminal unit. A computer application is developed for data acquisition and sending via online and in real time to a web server using an internet modem. For a web-based prediction of CO concentration, a Fuzzy Time Series algorithm induced by Pritpal Sing matrix is used. This research uses CO concentration data for two months. The resulting carbon monoxide concentration prediction is displayed in real time on a dashboard. This prediction is for the next day's forecast. Results show that the Fuzzy Time Series that is induced by Pritpal Sing matrix has an average error of 2.67 %, calculated with its average forecasting error rate (AFER). This error value varies, depending on the number of data and data characteristics.

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“…Geographical sensors were deployed for data retrieval and collection. WSN required the development of data collection and data aggregation for such application, including air pollution monitoring in the urban environment (Hejlová and Voženílek, 2013).…”

Section: Wireless Sensor Application In Environmental Fieldmentioning

confidence: 99%

Recent trend in wireless sensor network and its applications: a survey

Prasad

2015

Sensor Review

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Purpose – This paper aims to review existing wireless sensor network (WSN) setups in various domains, focusing on affordable WSN so that it can be effectively utilised in solving the environmental problems. WSN is being explored in many applications such as home security, smart spaces, environmental monitoring, battlefield surveillance and target tracking. WSN consists of a number of tiny, low-powered, energy-constrained sensor nodes with sensing, data processing and wireless communication components. Creating a WSN setup will make the monitoring system effective and in future, it will give a roadmap for solving some common societal problems. Design/methodology/approach – Various research papers in the area of WSN have been reviewed on the basis of technologies and application on different fields. Findings – WSN was found to be the most effective solution in areas which are less explored due their hazardous nature and are difficult to reach. Originality/value – This review is based on research papers available and a recent trend in the area of WSN has been explored.

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Wireless Sensor Network Components for Air Pollution Monitoring in the Urban Environment: Criteria and Analysis for Their Selection

Cited by 21 publications

References 4 publications

AI Will Change EA Practice – but Are We Ready for It? A Call for Discussion Based on Developments in Collecting and Processing Biodiversity Data

AI Will Change EA Practice – but Are We Ready for It? A Call for Discussion Based on Developments in Collecting and Processing Biodiversity Data

Wireless Sensor System for Prediction of Carbon Monoxide Concentration using Fuzzy Time Series

Recent trend in wireless sensor network and its applications: a survey

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