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.