An analysis of a large scale habitat monitoring application
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
A line in the sand: a wireless sensor network for target detection, classification, and tracking
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Military communications systems and technologies
Capturing high-frequency phenomena using a bandwidth-limited sensor network
Proceedings of the 4th international conference on Embedded networked sensor systems
Data Collection in Wireless Sensor Networks for Noise Pollution Monitoring
DCOSS '08 Proceedings of the 4th IEEE international conference on Distributed Computing in Sensor Systems
Citizen noise pollution monitoring
Proceedings of the 10th Annual International Conference on Digital Government Research: Social Networks: Making Connections between Citizens, Data and Government
Ear-Phone assessment of noise pollution with mobile phones
Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems
Ear-phone: an end-to-end participatory urban noise mapping system
Proceedings of the 9th ACM/IEEE International Conference on Information Processing in Sensor Networks
INSS'09 Proceedings of the 6th international conference on Networked sensing systems
Participatory noise pollution monitoring using mobile phones
Information Polity - Government 2.0: Making Connections between citizens, data and government
Environmental monitoring via compressive sensing
Proceedings of the Sixth International Workshop on Knowledge Discovery from Sensor Data
Internet of Things (IoT): A vision, architectural elements, and future directions
Future Generation Computer Systems
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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.