The Sensor Network Academic
Resource Kit provides tools and supporting materials that enable researchers to
explore and build sensor and networked embedded systems technologies and
applications, and is the result of the research by the MSR Networked Embedded
Computing Group over the past three years. It comprises the MSRSense toolkit for
sensor data collection, processing, and visualization, and data publishing tools
for SensorMap, a wide-area sensor web that bridges between embedded devices and
the Internet.
Since the tool first became
available on research.microsoft.com in December 2005, it has been downloaded
more than 10,000 times by researchers worldwide. A Community Preview CD was
distributed at the 2006 MSR Faculty Summit.
The research and teaching
resources included in the Sensor Network Kit are:
·
Software for MSRSense
Micro-Server, including
•
Source code & binaries
for Micro-Server Execution Engine
•
Source code & binaries
for Micro-Server Interaction Console
•
Source code & binaries
for Micro-Server Service Library
·
Software for Excel
Extension for streaming data, including
•
Source code & binaries
for Senscel
•
Source code & binaries
for archiving data to SQL Server
•
Support for using
Visual Studio Tools for Office
·
Software for
connecting to TinyOS motes, including
•
Source code & binaries
for MoteForwarder
•
Source code & binaries
for Packet Recording and Replay
·
Software for
publishing to SensorMap, including
•
Source code & binaries
for SenseWebPublisher
•
Source code & binaries
for publishing mote data on SensorMap
•
Source code & binaries
for publishing web camera data on SensorMap
•
Support for registering
sensors with SensorMap
•
Support for using
SenseWeb DataHub API
·
Supporting software,
including
•
Microsoft® Visual
Studio® 2005 Trial Edition
·
Supporting materials,
including
•
Tutorials on SensorMap
and data publishing toolkit
•
Related research papers
and presentations by the NEComp researchers
•
Videos from the MSR
Sensor Network Workshop and pointers to the UW/MSR Summer Institute on World
Wide Sensor Web; both workshops were attended by leading researchers from the
sensor network community.