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  1. Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Location Based Social Networks (LBSN '10)
  2. Using location based social networks for quality-aware participatory data transfer
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Measuring geographical regularities of crowd behaviors for Twitter-based geo-social event detection
Towards location-based social networking services
DC2S: a dynamic car sharing system
A location predictor based on dependencies between multiple lifelog data
Querying geo-social data by bridging spatial networks and social networks
Spatio-temporal proximity and social distance: a confirmation framework for social reporting
Mining user similarity from semantic trajectories
Using location based social networks for quality-aware participatory data transfer
Anonymizing user location and profile information for privacy-aware mobile services
Activity identification from GPS trajectories using spatial temporal POIs' attractiveness

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Using location based social networks for quality-aware participatory data transfer

Content Provider ACM Digital Library
Author Banaei-Kashani, Farnoush Shirani-Mehr, Houtan Shahabi, Cyrus
Abstract The sensing systems that monitor physical environments rely on communication infrastructures (wired or wireless) to collect data from the sensors embedded in the environment. However, in many urban environments pre-existing communication infrastructures are not available, and installing and using new infrastructures is unjustifiably expensive and/or technically infeasible. For such environments, we envision Participatory Data Transfer (PDT) as an alternative communication medium that leverages LBSN (Location Based Social Networks) for data collection. With PDT, LBSN users use their mobile devices to receive data from sensors, and forward the sensed data through the physical network of their mobile devices as well as their connections in the online/virtual social network until the data is received by the data aggregators (data collectors). In this paper, we elaborate on this vision in the context of Quality-aware Participatory Data Transfer (Q-PDT), where PDT must be designed such that it ensures quality guarantees for the sensed data (e.g., sufficiently covering and accurately sensing, timely delivery). In particular, we define and discuss variations of the Q-PDT problem and study its computational complexity.
Starting Page 47
Ending Page 50
Page Count 4
File Format PDF
ISBN 9781450304344
DOI 10.1145/1867699.1867708
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2010-11-02
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Sensor placement Location-based service Social network Participatory data transfer
Content Type Text
Resource Type Article
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