Publication Type
Conference Proceeding Article
Version
acceptedVersion
Publication Date
8-2012
Abstract
We make the case for cloud-enabled mobile sensing services that support an emerging application class, one which infers near-real time collective context using sensor data obtained continuously from a large set of consumer mobile devices. We present the high-level architecture and functional requirements for such a mobile sensing service, and argue that such a service can significantly improve the scalability and energy-efficiency of large-scale mobile sensing by coordinating the sensing & processing tasks across multiple devices. We then focus specifically on the problem of energy efficiency and provide early exemplars of how optimizing query execution jointly over multiple phones can lead to substantial energy savings.
Keywords
Mobile Phone Sensing, Power Management, Query Optimization
Discipline
Software Engineering
Research Areas
Software and Cyber-Physical Systems
Publication
MCC '12: Proceedings of the 1st MCC Workshop on Mobile Cloud Computing: August 17, Helsinki, Finland
First Page
53
Last Page
58
ISBN
9781450315197
Identifier
10.1145/2342509.2342521
Publisher
ACM
City or Country
New York
Citation
SEN, Sougata; MISRA, Archan; BALAN, Rajesh Krishna; and LIM, Lipyeow.
The Case for Cloud-Enabled Mobile Sensing Services. (2012). MCC '12: Proceedings of the 1st MCC Workshop on Mobile Cloud Computing: August 17, Helsinki, Finland. 53-58.
Available at: https://ink.library.smu.edu.sg/sis_research/1542
Copyright Owner and License
Publisher
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/10.1145/2342509.2342521