Conference Proceeding Article
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.
Context, Crowd, Crowdmon, Sensing
Computer Sciences | Software Engineering
Software and Cyber-Physical Systems
SenSys 2012: Proceedings of the 10th ACM Conference on Embedded Networked Sensor Systems, November 6-9, 2012, Toronto, ON, Canada
City or Country
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. Research Collection School Of Information Systems.
Available at: http://ink.library.smu.edu.sg/sis_research/3293
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