Publication Type
Conference Proceeding Article
Version
acceptedVersion
Publication Date
1-2014
Abstract
In this paper, we highlight the challenge of continuously sensing context data from mobile phones. In particular, we show that the energy cost of this type of continuous sensing is extremely high if a) accuracy is desired, and b) power optimisations do not work well if multiple tasks are sensing concurrently. Our results are derived from our experience in building the LiveLabs context sensing platform. We present results for different types of sensing tasks; ranging from simple sensing using just one sensor all the way to multi-sensor sensing performed by concurrent high-level tasks. We end with a discussion of the challenges of supporting multi-task sensing across heterogeneous devices and operating systems.
Keywords
Context sensing, Continuous sensing, Heterogeneous devices, Mobile context, Multi sensor, Multiple tasks, Optimisations, Sensing tasks
Discipline
Software Engineering
Research Areas
Software and Cyber-Physical Systems
Publication
2014 6th International Conference on Communication Systems and Networks (COMSNETS): January 6-10, Bangalore
First Page
1
Last Page
8
ISBN
9781479936359
Identifier
10.1109/COMSNETS.2014.6734869
Publisher
IEEE
City or Country
Piscataway, NJ
Citation
BALAN, Rajesh Krishna; LEE, Youngki; TAN, Kiat Wee; and MISRA, Archan.
The Challenge of Continuous Mobile Context Sensing. (2014). 2014 6th International Conference on Communication Systems and Networks (COMSNETS): January 6-10, Bangalore. 1-8.
Available at: https://ink.library.smu.edu.sg/sis_research/2062
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1109/COMSNETS.2014.6734869