SensorMash: Exploring System Fidelity Through Sensor Mashup

Steve Neely, Matthew Stabeler, Paddy Nixon

Research output: Contribution to conference (non-published works)Paperpeer-review


Context-aware services are driven by sensed data from both real and virtual worlds. Building effective pervasive systems involves administration and fine tuning of sensors toward optimal operation. Difficulties arise because sensors are prone to inaccuracies through miscalibration, malfunction and component limitations. Any incorrect values of sensed data need to be accounted for and dealt with appropriately otherwise the system as a whole may not behave in a useful manner. Trying to understand the limitations of sensors, service tolerances to inaccuracies, and the multiplicative effects of erroneous data on a given system can be an extremely complicated task. In this paper we present SensorMash, a tool for exploring sensor interactions as a mashup of inputs into a context-aware system. Built on top of a general model for sensor data, SensorMash allows developers to explore the effects of massaging tolerances to inaccuracy ratings and uncertainty. A small user trial is described with initial results driving research into an autonomic sensor management system.
Original languageEnglish
Number of pages4
Publication statusPublished - 2008
Externally publishedYes
EventPervasive 2008 the Sixth International Conference on Pervasive Computing - Sydney, Sydney, Australia
Duration: 19 May 200822 May 2008


ConferencePervasive 2008 the Sixth International Conference on Pervasive Computing


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