State-machine driven opportunistic sensing by mobile devices

State-machine driven opportunistic sensing by mobile devices

As mobile devices increasingly incorporate a range of sensors, there is significant potential to apply opportunistic sensing techniques to allow collections of these devices to provide context information to applications. Focussing on a use case involving the use of mobile devices to sense and local...

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Bibliographic Details
Published in:2014 IEEE Global Communications Conference pp. 2739 - 2744
Main Authors: Loomba, Radhika, Lei Shi, Jennings, Brendan
Format: Conference Proceeding
Language:English
Published: IEEE 01-12-2014
Subjects:
Batteries
Buildings
Clustering algorithms
Context
Context-aware Applications
Mobile handsets
Opportunistic Sensing
People-centric Sensing
Robot sensing systems
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Summary:As mobile devices increasingly incorporate a range of sensors, there is significant potential to apply opportunistic sensing techniques to allow collections of these devices to provide context information to applications. Focussing on a use case involving the use of mobile devices to sense and localize increasing levels of gases in a work environment, we show that the use of application-specific state machines that control the rate at which sensed data is reported, can lead to a significant reduction in battery consumption by the devices in comparison to continuous sensing approaches wherein the reporting rate remains constant.
ISSN:1930-529X
2576-764X
DOI:10.1109/GLOCOM.2014.7037222