CS 410/510 Advanced Sensor Networks – Participatory and Urban Sensing

 

Instructor: Dr. Nirupama Bulusu

Fridays 9-12:40pm

 

“Participatory sensing tasks everyday mobile devices, such as cellular phones, to form interactive, participatory sensor networks that enable public and private users to gather, analyze and share local knowledge.”

- Jeff Burke et al, Nov. 2006.

 

This course focuses on the application opportunities as well as the technical challenges for participatory sensing. It consists of two primary components:

  • readings of recent papers in sensor networks (30% of your grade)
  • a quarter-long sensor network research project (70% of your grade).

We will be reading recent research papers on urban and people-centric sensing. The class will be divided into a number of paper groups. Each student is expected to present and lead a discussion of some of the papers. All students are required to submit summaries of papers for each paper group.

Each student will work on a quarter-long research project. You are expected to submit a project proposal at the end of the third week. Students are expected to report on their progress bi-weekly during class. At the end of the term, you are expected to do a presentation of your research project, and submit an 8-page conference style research paper on your work.

Readings:

The following is a preliminary list of papers for discussion, in the emerging area on participatory and urban sensing. As we converge on research project themes, we will eventually add papers from other related areas that are relevant to the projects.

Vision and Motivation

Nicholas D. Lane, Shane B. Eisenman, Emiliano Miluzzo, Mirco Musolesi, Andrew T. Campbell, "Urban Sensing: Opportunistic or Participatory?", Presented at First Workshop Sensing on Everyday Mobile Phones in Support of Participatory Research, Sydney, Australia, November 6, 2007. [pdf]

J. Burke, D. Estrin, M. Hansen, A. Parker, N. Ramanathan, S. Reddy, M. B. Srivastava, “Participatory Sensing”, World Sensor Web Workshop, Nov 2006. PDF

 

Applications

Bret Hull, Vladimir Bychkovsky, Kevin Chen, Michel Goraczko, Allen Miu, Eugene Shih, Yang Zhang, Hari Balakrishnan, and Samuel Madden, CarTel: A Distributed Mobile Sensor Computing System”, in Proc. ACM SenSys, 2006. Abstract PDF

Shane B. Eisenman, Emiliano Miluzzo, Nicholas D. Lane, Ronald A. Peterson, Gahng-Seop Ahn, and Andrew T. Campbell, "The BikeNet Mobile Sensing System for Cyclist Experience Mapping", In Proc. of Sensys 2007, Sydney Australia, November 6 - 9th 2007. [pdf][talk]

Sasank Reddy, Andrew Parker, Josh Hyman, Jeff Burke, Mark Hansen, and Deborah Estrin, "Image Browsing, Processing, and Clustering for Participatory Sensing: Lessons From a DietSense Prototype" (January 1, 2007). (PDF)

 

Yi Fei Dong, Salil Kanhere, Chun Tung Chou, Nirupama Bulusu,  “Automatic Collection of Fuel Prices Using a Network of Mobile Cameras”,  In Proceedings of the International Conference on Distributed Computing in Sensor Systems (DCOSS 2008), Santorini, Greece, June 2008.

Lama Nachman, Jonathan Huang, Raymond Kong, Rahul Shah, Junaith Shahabdeen, Chieh-yih Wan, Mark Yarvis, “On-body health data aggregation using mobile phones pdf “, Corporate Technology Group, Intel Corporation, Presented at First Workshop Sensing on Everyday Mobile Phones in Support of Participatory Research, Sydney, Australia, November 6, 2007.

Eric Paulos, R.J. Honicky, Elizabeth Goodman, “Sensing Atmosphere pdf  ”,
Presented at First Workshop Sensing on Everyday Mobile Phones in Support of Participatory Research, Sydney, Australia, November 6, 2007.

 

Data Management

August Joki, Jeffrey A. Burke, and D Estrin (October 26, 2007) Campaignr: A Framework for Participatory Data Collection on Mobile Phones

 

Suman Nath, Jie Liu, and Feng Zhao, “SensorMap for Wide-Area Sensor Webs [pdf]”, IEEE Computer Magazine, vol. 40, no.7, July 2007.

Yang Zhang, Bret Hull, Vladimir Bychkovsky, Hari Balakrishnan, and Samuel Madden, “IceDB: Continuous Query Processing in an Intermittently Connected World”, In Proc. ICDE 2007. Abstract PDF

Security and Privacy

Apu Kapadia, Dan Peebles, Cory Cornelius, Nikos Triandopoulos, David Kotz. "AnonySense: Opportunistic and Privacy-Preserving Context Collection," To appear in Proc. of Sixth Conf. on Pervasive Computing, Sydney, Australia, May 19-22, 2008. [pdf][bibtex]

 

Performance and Scalability

Rajib Kumar Rana, Chun Tung Chou, Salil Kanhere, “Reconstruction of temporal-spatial profile from participatory sensing data pdf”, CSE, U. of New South Wales, Sydney

Yanif Ahmad and Suman Nath, “COLR-Tree: Communication Efficient Spatio-Temporal Index for a Sensor Data Web Portal [pdf]”, ICDE 2008

 

 

Incentives

Bram Cohen, Incentives Build Robustness in Bittorrent pdf”,

Ahmad and Michael Piatek, Tomas Isdal, Thomas Anderson, Arvind Krishnamurthy and Arun Venkataramani, “Do incentives build robustness in BitTorrent? [pdf]”, NSDI 2007