The First International Workshop on Data Management in Participatory Sensing

co-located with the 13th IEEE International Conference on Mobile Data Management. July 23-26, 2012, Bengaluru, India.



Call for Papers

The proliferation of low-cost sensors in user devices (e.g. mobile phones, notepads, cars, etc.) has inspired the idea of outsourcing sensing tasks by means of participatory sensing. The realization of this concept would enable a number of interesting applications of great social and business value, such as early seismic detection, agile crisis response, personalized smog exposure and footprint, health monitoring, etc. However, the usefulness (i.e. utility) of the sensory data is subject to uncontrolled mobility, as users move freely around, while data sensing and data transmission are costly, in terms of battery and bandwidth respectively. Furthermore, privacy concerns are raised by the users, since the sensor data can be mined and user trajectories and history of activities can be extracted. Therefore, the realization of participatory sensing involves dealing with important data management research challenges, such as storage and processing of sensor data from uncontrolled mobile sources, data quality assessment, privacy-preserving data collection, data access control, participation incentives provision, economic sustainability, etc.

Topics of interest include, but are not limited to, the following:

  • Efficient data collection
  • Indexing schemes for mobile sensor data
  • Privacy-preserving data mining
  • Sensor data privacy-preserving schemes
  • Privacy-preserving storage
  • Secure storage and access control
  • Sensor data quality and trustworthiness
  • Activity mining in participatory sensing
  • Data stream processing in participatory sensing
  • Incentive schemes for participatory sensing
  • Utility and cost analysis in participatory sensing
  • Game theory in community sensing
  • Data management middleware for crowdsourcing
  • Participatory sensing applications that deal with one or more of the above

Authors are invited to submit original work on any of the above topics or other ones related to the participatory sensing context and its associated data management problems.



Important Dates

Workshop Date:               July 23, 2012



Technical Program


8:50-9:00am Welcome
9:00-10:30am Session 1: Hot topics in participatory sensing
9:00-9:30am
Opportunistic Collection of Sensor Data
Prof. Arkady Zaslavsky, CSIRO
9:30-10:00am
Public Safety & Crowd Sourcing: Efforts, Issues and Next Directions
Dr. Sameep Mehta, IBM Research India
10:00-10:30am
Big Data Mining in Social Media - An Australian Experience
Prof. Dimitrios Georgakopoulos, CSIRO
10:30-11:00am Tea Break
11:00am-12:30pm Session 2: Seminar Talks
11:00-11:45am
Privacy-aware Sensing
Dr. Raghu Ganti, IBM T. J. Watson Research Center
11:45am-12:30pm
Model-based Sensor Data Management
Dr. Thanasis Papaioannou, EPFL, Switzerland
12:30-1:30pm Lunch Break
1:30-2:00pm Session 3. Panel Discussion with the theme "Architecture of Participatory Sensing Data Management"
  Many stakeholders involved in participatory sensing. What is the proper architecture/interactions in participatory sensing data management ? E.g., how does privacy module interact with the other pieces? How do you solve this puzzle of interdependencies in participatory sensing?


Organizing Committees

Program Co-chairs

Thanasis Papaioannou, EPFL, Switzerland
Raghu k Ganti, IBM T. J. Watson Research Center
Salil Kanhere, University of New South Wales, Australia

Program Committee (alphabetically)

Tarek Abdelzaher, University of Illinois at Urbana Champaign (UIUC), USA
Jeff Burke, UCLA, USA
Delphine Christin, Technical University Darmstadt, Germany
Antonis Deligiannakis, Technical University of Crete, Greece
Peter Fischer, University of Freiburg, Switzerland
Lewis Girod, MIT, USA
Josep Domingo Ferrer, Universitat Rovira i Virgili, Spain
Radhakrishna Ganti, IIT-Madras, India
Fosca Giannotti, CNR, Italy
Vana Kalogeraki, Athens University of Economics and Business (AUEB), Greece
Emiliano Miluzzo, AT&T Research, USA
Anna Monreale, CNR, Italy
Brian Huang, The University of New South Wales, Australia
Ramya Raghavendra, IBM Watson Research Center, USA
Anand Ranganathan, IBM Watson Research Center, USA
Reza Shokri, EPFL, Switzerland
Demetris Zeinalipour, University of Cyprus, Cyprus