The assessment of environmental pollution levels is a complex and expensive task that public administration and often also private entities are willing or forced to take over. Focusing on the assessment of environmental noise pollution in urban areas, we provide qualitative considerations and experimental results to show the feasibility of wireless sensor networks to be used in this context. We present a prototype for the collection and logging of noise pollution data based on the Tmote invent prototyping platform., using which we performed indoor and outdoor noise pollution measurements. We build upon these first experimental results to depict the potentials and limits of currently available wireless sensor networks prototyping platforms to be used as noise pollution sensors. Furthermore, we present tinyLAB, a Matlab-based tool developed in the context of this work, which enables real-time acquisition, processing and visualization of data collected in wireless sensor networks. Copyright 2008 ACM.
First experiences using wireless sensor networks for noise pollution monitoring / Silvia, Santini; Benedikt, Ostermaier; Vitaletti, Andrea. - (2008), pp. 61-65. (Intervento presentato al convegno 3rd Workshop on Real-World Wireless Sensor Networks, REALWSN 2008 tenutosi a Glasgow; United Kingdom nel 1 April 2008 through 1 April 2008) [10.1145/1435473.1435490].
First experiences using wireless sensor networks for noise pollution monitoring
VITALETTI, Andrea
2008
Abstract
The assessment of environmental pollution levels is a complex and expensive task that public administration and often also private entities are willing or forced to take over. Focusing on the assessment of environmental noise pollution in urban areas, we provide qualitative considerations and experimental results to show the feasibility of wireless sensor networks to be used in this context. We present a prototype for the collection and logging of noise pollution data based on the Tmote invent prototyping platform., using which we performed indoor and outdoor noise pollution measurements. We build upon these first experimental results to depict the potentials and limits of currently available wireless sensor networks prototyping platforms to be used as noise pollution sensors. Furthermore, we present tinyLAB, a Matlab-based tool developed in the context of this work, which enables real-time acquisition, processing and visualization of data collected in wireless sensor networks. Copyright 2008 ACM.File | Dimensione | Formato | |
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