Overview: 

Over the last five years, the research community supporting embedded sensing has benefited from the experiences of numerous real-world deployments. Actual scientific applications are on the rise, and a number of new environmental observatories are moving from planning to implementation (NEON, WATERS). In parallel, we have seen an expansion in the use smartphones and other consumer devices, supported by the cellular network and capable of capturing acoustics and images, creating a host of citizen-initiated sensing projects (e.g., videothevote.org).

While many algorithms for networking and control of embedded sensing platforms anticipate within-deployment scaling of observational resources, the introduction of diverse environmental observatories and the variety of new urban applications suggests that interoperability, and for the purpose of this workshop the ``sharing" of data and models, represents another, equally important, kind of scaling. In this workshop, we focus directly on the implications of widely shared sensor data, models and algorithms, and the systems that might support this.

Simply put, data is the raison d'etre of any sensing exercise. While few researchers in the field would argue the point, too much attention has been paid to the networking of distributed sensing and not enough emphasis has been placed on the tools to manage, share, analyze, and understand the data. Hosted in coordination with IPSN (emphasizing algorithms for communications, coding theory, and distributed estimation) and SPOTS (focusing on hardware and complete platforms), this workshop will examine the various uses of data associated with embedded sensing.

 Topics of interest (but not limited to):

• Data interoperability

• Data Semantics

• Extracting information from data and sensor data fusion

• Managing data uncertainty

• Systems for data integrity

• Modeling sensor data

• Managing spatial and temporal data (e.g., indexing, caching, query processing, etc.)

• Automated or semi-automated processing of ad-hoc sensor data

• Architecture to connect multiple sensor deployments together

• Data visualization

• Mash-up applications (the ability to pull in data/tools from multiple places and render it at a client) and workflows

Submissions:

Authors are requested to submit original papers of no more than 6 pages (standard IEEE proceedings two-column format), including figures, tables, and references in PDF that include contact information of all the authors.  If you have any questions regarding the submission process, please send e-mail to either Mark Hansen (cocteau@stat.ucla.edu) or Suman Nath (sumann@microsoft.com). Please submit the .pdf version of your paper via EasyChair.

Important Dates:

• Papers due: Friday, February 23, 2007 March 2, 2007 (Extended and Firm)

• Notification: Friday, March 30, 2007

• Camera Ready: Friday, April 13, 2007

• Workshop: Tuesday, April 24, 2007

 Organizing Committee:

           Mark Hansen, UCLA (PC Co-Chair)
           Suman Nath, Microsoft Research (PC Co-Chair)

Program Committee:

• Karl Aberer, EPFL

• Matthew Arrott, UCSD

• Amol Deshpande, University of Maryland

• Max Egenhofer, University of Maine

• Mark Hansen, UCLA

• Suman Nath, Microsoft Research

• Mani Srivastava, UCLA

• Andreas Terzis, JHU

• John Wilbanks, Science Commons