@inproceedings{cbbbabc202fc407789a7f4fc6297d225,
title = "CrowdWatch: Enabling in-network crowd-sourcing",
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.",
keywords = "Crowdsourcing, Energy-management, Smartphones",
author = "Robin Kravets and Hilfi Alkaff and Andrew Campbell and Karrie Karahalios and Klara Nahrstedt",
year = "2013",
doi = "10.1145/2491266.2491277",
language = "English (US)",
isbn = "9781450321808",
series = "MCC 2013 - Proceedings of the 2nd, 2013 ACM SIGCOMM Workshop on Mobile Cloud Computing",
pages = "57--62",
booktitle = "MCC 2013 - Proceedings of the 2nd, 2013 ACM SIGCOMM Workshop on Mobile Cloud Computing",
note = "2013 2nd ACM SIGCOMM Workshop on Mobile Cloud Computing, MCC 2013 ; Conference date: 12-08-2013 Through 12-08-2013",
}