Title

The Case for Cloud-Enabled Mobile Sensing Services

Publication Type

Conference Proceeding Article

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 first edition of the MCC Workshop on Mobile Cloud Computing: August 17, 2012, Helsinki, Finland

First Page

53

Last Page

58

ISBN

9781450315197

Identifier

10.1145/2342509.2342521

Publisher

ACM

City or Country

New York

Additional URL

http://dx.doi.org/10.1145/2342509.2342521