Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
11-2012
Abstract
In this paper, we propose an in-situ Crowd-aware Sensing Platform, called "CrowdMon", which envisions the cooperation among mobile users in highly crowded urban areas such as metro and square. CrowdMon establishes a spontaneous connection from co-located users in a semantic proximity and enables them to share contextual information such as location, ambient music, and mood of places. To the best of our knowledge, CrowdMon is the first attempt to support crowd-aware services at a platform level. We show interesting use cases of CrowdMon and an initial system design to realize the crowd-based context sharing.
Keywords
Context, Crowd, Crowdmon, Sensing
Discipline
Computer Sciences | Software Engineering
Research Areas
Software and Cyber-Physical Systems
Publication
SenSys 2012: Proceedings of the 10th ACM Conference on Embedded Networked Sensor Systems, November 6-9, 2012, Toronto, ON, Canada
First Page
335
Last Page
336
ISBN
9781450311694
Identifier
10.1145/2426656.2426695
Publisher
ACM
City or Country
New York
Citation
PUSHP, Saumay; MIN, Chulhong; LEE, Youngki; LIU, Chi Harold; and SONG, Junehwa.
Poster Abstract: Towards crowd-aware sensing platform for metropolitan environments. (2012). SenSys 2012: Proceedings of the 10th ACM Conference on Embedded Networked Sensor Systems, November 6-9, 2012, Toronto, ON, Canada. 335-336.
Available at: https://ink.library.smu.edu.sg/sis_research/3293
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
http://dx.doi.org/10.1145/2426656.2426695