Abstract

Proliferation of mobile smartphones has opened up possibilities of using crowd-sourcing to gather data from and so monitor large crowds. However, depending on the size of the crowd, current solutions either put unpredictable stress on the infrastructure and energy-constrained smartphones or do not capture the crowd behavior accurately. In response, we present CrowdWatch, a scalable, distributed and energy-efficient crowd-sourcing framework. CrowdWatch achieves its goal through off-loading some of the processing to the devices and establishing a hierarchy of participants by exploiting devices with multiple radios (i.e. WiFi (high-power) and BlueTooth (low-power)). CrowdWatch can outperform traditional crowd-sourcing frameworks by reducing the stress on the infrastructures to 10% of that of a traditional crowd-sourcing solution, while only requiring each phone to use their Wi-Fi radios 15% of the time in a dense environment.

Original languageEnglish (US)
Title of host publicationMCC 2013 - Proceedings of the 2nd, 2013 ACM SIGCOMM Workshop on Mobile Cloud Computing
Pages57-62
Number of pages6
DOIs
StatePublished - Sep 16 2013
Event2013 2nd ACM SIGCOMM Workshop on Mobile Cloud Computing, MCC 2013 - Hong Kong, China
Duration: Aug 12 2013Aug 12 2013

Publication series

NameMCC 2013 - Proceedings of the 2nd, 2013 ACM SIGCOMM Workshop on Mobile Cloud Computing

Other

Other2013 2nd ACM SIGCOMM Workshop on Mobile Cloud Computing, MCC 2013
CountryChina
CityHong Kong
Period8/12/138/12/13

Keywords

  • Crowdsourcing
  • Energy-management
  • Smartphones

ASJC Scopus subject areas

  • Software

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  • Cite this

    Kravets, R., Alkaff, H., Campbell, A., Karahalios, K., & Nahrstedt, K. (2013). CrowdWatch: Enabling in-network crowd-sourcing. In MCC 2013 - Proceedings of the 2nd, 2013 ACM SIGCOMM Workshop on Mobile Cloud Computing (pp. 57-62). (MCC 2013 - Proceedings of the 2nd, 2013 ACM SIGCOMM Workshop on Mobile Cloud Computing). https://doi.org/10.1145/2491266.2491277