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IBDC 2015 - 2015 International Workshop on Big Data in Crowdsensing (IBDC 2015)

Date2015-08-26 - 2015-08-28

Deadline2015-06-15

VenueDalian, China China

Keywords

Websitehttp://www.cs.sjtu.edu.cn/~fwu/IBDC2015

Topics/Call fo Papers

Crowdsensing is a new paradigm of applications that enables the ubiquitous mobile devices with enhanced sensing capabilities, such as smartphones and wearable devices, to collect and to share local information towards a common goal. Most of the smart devices are equipped with a rich set of cheap and powerful sensors, e.g., accelerometer, digital compass, GPS, microphone, and camera. These sensors can be utilized to monitor mobile users’ surrounding environment, and infer human activities and contexts. In recent years, a wide variety of applications have been developed to realize the potential of crowdsensing throughout everyday life, such as environmental monitoring, noise pollution assessment, road and traffic condition monitoring, road-side parking statistics, and indoor localization. The data acquired through crowdsensing exhibits a number of important characteristics, such as large in scale (Volume), fast speed of generation (Velocity), different in forms (Variety), and uncertain in quality (Veracity). The 4Vs of crowdsensing data make it extremely interesting and challenging in designing participatory and opportunistic sensing technologies, human centric data management and analytics models, and novel visualization tools.
The objective of this workshop is to invite authors to submit original manuscripts that demonstrate and explore current advances in all aspects of big data management in crowdsensing environments. The workshop solicits novel papers on a broad range of topics, including but not limited to:
Architecture and framework design for crowdsensing
Theoretic foundations of crowdsensing
Participatory and opportunistic sensing
Crowdsensing data communication and sharing
Algorithm design for sensing scheduling
Big crowdsensing data processing, storage, and mining
Sensing resource management in crowdsensing
Economic systems and incentive mechanisms for crowdsensing
Security, privacy preservation, and trust management in crowdsensing
Social and psychological issues in crowdsensing
Novel applications of crowdsensing
Experience reports and studies of crowdsensing systems

Last modified: 2015-05-04 08:05:23