Loomba, Radhika and Shi, Lei and Jennings, Brendan (2014) State-machine driven opportunistic sensing by mobile devices. In: 2014 IEEE Global Communications Conference, GLOBECOM 2014 :. 2014 IEEE Global Communications Conference, GLOBECOM 2014 . Institute of Electrical and Electronics Engineers Inc., USA, pp. 2739-2744. ISBN 9781479935116
Full text not available from this repository. (Request a copy)Abstract
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.
Item Type: | Book Section |
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Additional Information: | Publisher Copyright: © 2014 IEEE. |
Uncontrolled Keywords: | /dk/atira/pure/subjectarea/asjc/2200/2208 |
Departments or Groups: | |
Depositing User: | Admin SSL |
Date Deposited: | 19 Oct 2022 23:14 |
Last Modified: | 27 Jun 2023 07:05 |
URI: | http://repository-testing.wit.ie/id/eprint/4783 |
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