IBDC 2015

The 2015 International Workshop on Big Data in Crowdsensing

(IBDC 2015)

In Conjunction with the 5th IEEE International Conference on Big Data and Cloud Computing (BDCloud 2015)

August 26-28, 2015, Dalian, China

Important Dates
Technical Papers: 23:59 GMT, June 1 June 3, 2015 (Firm Deadline)
Acceptance Notification: June 15, 2015
Author Registration: June 30, 2015
Camera Ready Due: June 30, 2015


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

Extended versions of all the accepted papers will be considered for publishing in Special Issue on Big Data Management for Mobile Crowdsensing of Mobile Information Systems Journal (SCI Indexed, Impact Factor: 1.789).


Submissions must include an abstract, keywords, the e-mail address of the corresponding author and should not exceed 8 pages, including tables and figures in IEEE CS format. The template files for LATEX or WORD can be downloaded from the follwing link: http://www.ieee.org/conferences_events/conferences/publishing/templates.html

All paper submissions must represent original and unpublished work. Each submission will be peer reviewed by at least three program committee members. Submission of a paper should be regarded as an undertaking that, should the paper be accepted, at least one of the authors will register for the conference and present the work.

Submit your paper(s) at the submission site:


General Chair

Guihai Chen Shanghai Jiao Tong University, China  

Program Committee Co-Chairs

Fan Wu Shanghai Jiao Tong University, China fwu@cs.sjtu.edu.cn
Liang Liu Beijing University of Posts and Telecommunications, China liangliu82@gmail.com
Lei Xie Nanjing University, China lxie@nju.edu.cn

Program Committee Members

Kaigui Bian Peking University, China
Tingting Chen California State Polytechnic University, USA
Xiaojiang Chen Northwest University, China
Chao Dong PLA University of Science and Technology, China
Xiaofeng Gao Shanghai Jiao Tong University, China
Jingyu Hua Nanjing University, China
Qiang-Sheng Hua Huazhong University of Science and Technology, China
He Huang Soochow University, China
Murtuza Jadliwala Wichita State University, USA
Ming Liu University of Electronic Science and Technology of China, China
Tie Luo Institute for Infocomm Research, Singapore
Bo Sheng University of Massachusetts Boston, USA
Wei Wang Tongji University, China
Zhibo Wang Wuhan University, China
Dejun Yang Colorado School of Mines, USA
Shigeng Zhang Central South University, China
Liehuang Zhu Beijing Institute of Technology, China
Xiaojun Zhu Nanjing University of Aeronautics and Astronautics, China

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