Multiagent-Based Data Fusion in Environmental Monitoring Networks

Dauwe, Samuel; Renterghem, Timothy Van; Botteldooren, Dick; Dhoedt, Bart

doi:10.1155/2012/324935

Cited by 13 publications

(13 citation statements)

References 24 publications

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“…Figure 2 shows a general overview of the system, and more details on the architecture of the sensor network can be retrieved in refs. [10,11]. Figure 3 shows the daily patterns of the sound equivalent levels in the living rooms during the corresponding monitoring week.…”

Section: Sound Level Monitoring Of the Living Roomsmentioning

confidence: 99%

Monitoring Sound Levels and Soundscape Quality in the Living Rooms of Nursing Homes: A Case Study in Flanders (Belgium)

et al. 2017

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Abstract:Recently there has been an increasing interest in the acoustic environment and its perceptual counterpart (i.e., the soundscape) of care facilities and their potential to affect the experience of residents with dementia. There is evidence that too loud sounds or poor soundscape quality more generally can affect negatively the quality of life of people with dementia and increase agitation. The AcustiCare project aims to use the soundscape approach to enhance the Quality of Life (QoL) of residents and to reduce Behavioral and Psychological Symptoms of Dementia (BPSD), as well as improving the everyday experience of nursing homes for both residents and staff members. In order to gain further insights into the sound environments of such facilities, sound level monitoring and soundscape data collection campaigns were conducted in the living rooms of five nursing homes in Flanders. Results showed that sound levels (dB) and loudness levels (sone) did not vary significantly between days of the week, but they did so between moments of the day and between living rooms. From the perceptual point of view, several soundscape attributes and the perceived prominence of different sound source types varied significantly between the living rooms investigated, and a positive correlation was found between sound levels and the number of persons present in the living rooms. These findings claim for further attention on the potential role of the sound domain in nursing homes, which should promote (and not only permit) better living and working conditions for residents and staff members of nursing homes.

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Section: Sound Level Monitoring Of the Living Roomsmentioning

confidence: 99%

Monitoring Sound Levels and Soundscape Quality in the Living Rooms of Nursing Homes: A Case Study in Flanders (Belgium)

et al. 2017

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“…There are numerous works on software for ES, most of which are stand-alone tools. Examples: Whelan et al [26] present desktop tools for tackling data compatibility and model interoperability issues through semantic mediation; Wang et al [27] present a desktop tool for matching data from different sources; Dauwe et al [28] present a multi-agent framework to fuse sensor data from different sources; the Penn State Integrated Hydrologic Model (PIHM) [29] is a prototype watershed model to predict water distribution.…”

Section: Related Workmentioning

confidence: 99%

Widening the Circle of Engagement Around Environmental Issues using Cloud-based Tools

Elkhatib

Gemmell

Vitolo

et al. 2019

2019 IEEE 39th International Conference on Distributed Computing Systems (ICDCS)

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Environmental data are being generated and collected at unprecedented rates. However, the diversity in form and format of these environmental assets poses challenges for collaborative and reproducible science. Moreover, access constraints that surround environmental data lead to difficulty in use and interpretation of results. Cloud computing offers high potential to break down such barriers and engender collaboration, attribution, reuse, and reproducibility. In this article we review the design of the Environmental Virtual Observatory pilot (EVOp) that was conceived as a cloud-enabled virtual research space for different users interested in environmental science, ranging from domain specialists to the general public. We discuss the key technologies and processes used: a hybrid cloud infrastructure; standard service interfaces; a unified service delivery platform; and a test-driven development cycle. We also discuss the methodology by showcasing one of the exemplars developed in EVOp, stressing the importance of weaving stakeholder engagement from the beginning and throughout the process. We also briefly highlight some of the lessons learnt of working in an interdisciplinary team.

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“…They could be distributed among the different computing resources available in the resource layer, that is, sensor nodes and servers, to efficiently exploit all our infrastructure. Efficient task distribution-described in detail in Dauwe et al [30]-is therefore one of the key components in our IRL.…”

Section: Idea Resource Layer (Irl)mentioning

confidence: 99%

“…The task distribution sublayer acts as a sensor data processing infrastructure. It stores processing tasks definitions in a task agenda database and executes them when necessary using software agents [26,30].…”

Section: Architecturementioning

confidence: 99%

Towards an Environmental Measurement Cloud: Delivering Pollution Awareness to the Public

Domínguez

Dauwe

Cariolaro

et al. 2014

International Journal of Distributed Sensor Networks

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Geosensor networks and sensor webs are two technologies widely used for determining our exposure to pollution levels and ensuring that this information is publicly available. However, most of these networks are independent from each other and often designed for specific domains, hindering the integration of sensor data from different sources. We contributed to the integration of several environmental sensor networks in the context of the IDEA project. The objective of this project was to measure noise and air quality pollution levels in urban areas in Belgium using low-cost sensors. This paper presents the IDEA Environmental Measurement Cloud as a proof-of-concept Data-as-a-Service (DaaS) cloud platform that integrates environmental sensor networks with a sensor web. Our DaaS platform implements a federated two-layer architecture to loosely couple together sensor networks deployed over a wide geographical area with web services. It offers several data access, discovery, and visualization services to the public while serving as a scientific tool for noise pollution research. After one year of operation, it hosts approximately 6.5 TB of environmental data and offers to the public near real-time noise pollution measurements from over 40 locations in Belgium.

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Multiagent-Based Data Fusion in Environmental Monitoring Networks

Cited by 13 publications

References 24 publications

Monitoring Sound Levels and Soundscape Quality in the Living Rooms of Nursing Homes: A Case Study in Flanders (Belgium)

Monitoring Sound Levels and Soundscape Quality in the Living Rooms of Nursing Homes: A Case Study in Flanders (Belgium)

Widening the Circle of Engagement Around Environmental Issues using Cloud-based Tools

Towards an Environmental Measurement Cloud: Delivering Pollution Awareness to the Public

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