Overview
This is a joint project with three participating universities: University of
Illinois at Urbana-Champaign, University of Virginia and University of
Minnesota. We are developing a new development environment with support
for multiple phases of the sensor network software life-cycle. It includes tools
for sensor network design, implementation, execution, and post-deployment
troubleshooting and maintenance. The goal is to create usable sensor network
development support for the community and reduce sensor network adoption
barriers for a broader category of users.
The proposal complements earlier work in three main respects: 1) Design-Time
Support Operating System, 2) Programming and Network Architecture Support
and 3) In-Situ System Support
Research
Directions
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we propose to develop a light-weight object oriented operating system,
called LiteOS, to enable object-oriented programming for sensor
networks. LiteOS will provide object-based encapsulation of local
operating system resources. It will export a set of C++ class libraries
for access to resources such as flash, radio, and timers. C++ is chosen
because of its widely known syntax and its support for objects. |
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This project aims at an Architecture for Worldwide Cyber-Phyical
Computing. It is a multi-layer architecture for
interconnecting and programming heterogeneous worldwide sensor nets,
which defines clear interfaces for each layer. Specifically,
higher layers export high-level abstractions that are easy to use and
lower layers export low-level abstractions to provide full flexibility |
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In this project, we design and
implement a practical Sensing Area Modeling technique, called SAM. By
injecting controlled events through regular and hierarchical training,
SAM estimates the sensing areas of individual sensor nodes accurately.
We also propose several model abstraction techniques to concisely define
the sensing areas with a small loss of accuracy. This work is the
first to investigate the impact of irregular sensing area on application
performance, such as coverage scheduling and tracking. We evaluate SAM
using theoretical analysis, a physical experiment on a testbed
consisting of 40 MicaZ motes, as well as an extensive 1000- node
simulation. Our evaluation results reveal serious problems caused by
circular sensing model, while demonstrating significant performance
improvements when SAM is used. |
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We are developing a design tool ANDES (ANalysis-based DEsign tool for
wireless Sensor networks) for modeling and analyzing a wireless sensor
network (WSN) system before deployment. This is beneficial for the
system designers who can develop a system model and refine it
iteratively, by tuning the system parameters based on existing
analytical results, and decide on the final system configuration
according to the desired system performance. This is one of the first
works being done to integrate analysis techniques into a design tool for
WSNs. For implementing ANDES, we have extended the AADL/OSATE framework,
which has been used extensively for real-time
and embedded systems. |
This Page was last modified by
11/21/2006
Authors:
Tian He
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