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Towards the Sensor Web: A Framework for Sensor Data Acquisition, Storage and Visualization (M)

Status: Abgeschlossen

The availability of small and cheap wireless sensing devices increased significantly in the past few years and large-scale real-world sensor networks begin to appear. Such a large number of sensors deployed in the real-world allow for accurately monitoring a variety of physical phenomena, like weather conditions (temperature, humidity, atmospheric pressure …) traffic levels on highways or rooms occupancy in public buildings. Making these sensors and their data available on a common web interface opens several interesting application scenarios. Users can query the available sensor data in real-time and use the query results to perform decisions or any kind of monitoring tasks. Since sensor data typically inherently relates to the specific sensor location, geo-based web interfaces like Google Maps or Windows Live Local are particularly suited to support real-world sensor querying.

Systems providing the necessary software infrastructure and tools for data acquisition, storage and online visualization of globally available sensor data begun to appear in the last few years. This master thesis will firstly survey and analyze these existing systems to outline which features they open to the users and to understand their usability. On the knowledge basis gained through this state-of-the-art survey, a simple framework for data acquisition, storage and visualization of sensor data will be implemented, in order to provide an easy-to-use prototyping environment for sensor-based applications. In particular, the framework will provide a tool for easily acquiring and storing data produced in wireless sensor networks and a web front-end based on Google maps to properly query and visualize the collected data. The prototype will be tested on an existing wireless sensor network deployment for urban noise monitoring.

Student/Bearbeitet von: Daniel Rauch
Contact/Ansprechpartner: Silvia Santini

ETH ZurichDistributed Systems Group
Last updated May 7 2012 07:19:03 PM MET ss