Towards crowd-aware sensing platform for metropolitan environments

Saumay Pushp*, Chulhong Min, Youngki Lee, Chi Harold Liu, Junehwa Song

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationSenSys 2012 - Proceedings of the 10th ACM Conference on Embedded Networked Sensor Systems
Pages335-336
Number of pages2
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event10th ACM Conference on Embedded Networked Sensor Systems, SenSys 2012 - Toronto, ON, Canada
Duration: 6 Nov 20129 Nov 2012

Publication series

NameSenSys 2012 - Proceedings of the 10th ACM Conference on Embedded Networked Sensor Systems

Conference

Conference10th ACM Conference on Embedded Networked Sensor Systems, SenSys 2012
Country/TerritoryCanada
CityToronto, ON
Period6/11/129/11/12

Keywords

  • Context
  • Crowd
  • Crowdmon
  • Sensing

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