Difference between revisions of "WCPS: Wireless Cyber-Physical Simulator"
| Line 12: | Line 12: | ||
studies and tools that capture both the cyber (wireless) and physical | studies and tools that capture both the cyber (wireless) and physical | ||
(structures) aspects of WSC systems represent a hurdle for | (structures) aspects of WSC systems represent a hurdle for | ||
| − | cyber-physical systems research for civil infrastructure. | + | cyber-physical systems research for civil infrastructure. |
| − | advances the state of the art of WSC and Cyber-physical System | + | |
| − | through the following contributions. First, | + | WCPS advances the state of the art of WSC and Cyber-physical System |
| − | + | through the following contributions. First, it for the first time presents an integrated environment | |
that combines realistic simulations of both wireless sensor | that combines realistic simulations of both wireless sensor | ||
networks and structures. WCPS integrates Simulink and TOSSIM, | networks and structures. WCPS integrates Simulink and TOSSIM, | ||
a state-of-the-art sensor network simulator featuring a realistic wireless | a state-of-the-art sensor network simulator featuring a realistic wireless | ||
| − | model seeded by signal traces. Second, | + | model seeded by signal traces. Second, release of WCPS in comprised of two |
realistic case studies each matching a structural model with wireless | realistic case studies each matching a structural model with wireless | ||
traces collected from real-world environments. The building | traces collected from real-world environments. The building | ||
| Line 28: | Line 28: | ||
(the Jindo Bridge) in Korea. These case studies shed lights on the | (the Jindo Bridge) in Korea. These case studies shed lights on the | ||
challenges of WSC and the limitations of a traditional structural | challenges of WSC and the limitations of a traditional structural | ||
| − | controller under realistic wireless conditions. | + | controller under realistic wireless conditions. |
| − | + | ||
| − | + | WCPS is specifically design for, but not limited to, realistic Wireless Structural Control | |
| − | + | simulations. The layered system infrastructure and efficient | |
| − | + | integration of state-of-the-art control and wireless networking tools, i.e., Simulink and TOSSIM, | |
| + | have made WCPS an ideal choice for general wireless control simulations. | ||
==Software Environment Setup== | ==Software Environment Setup== | ||
Revision as of 16:00, 6 February 2013
WCPS: Wireless Cyber-Physical Simulator
Wireless Structural Control (WSC) systems can play a crucial role in protecting civil infrastructure in the events of earth quakes and other natural disasters. Such systems represent an exemplary class of cyber-physical systems that perform close-loop control using real-time sensor data collected through wireless sensor networks. Existing WSC research usually employ wireless sensors installed on small lab structures, which cannot capture realistic delays and data loss in wireless sensor networks deployed on large civil structures and their impacts on structural control. The lack of realistic studies and tools that capture both the cyber (wireless) and physical (structures) aspects of WSC systems represent a hurdle for cyber-physical systems research for civil infrastructure.
WCPS advances the state of the art of WSC and Cyber-physical System through the following contributions. First, it for the first time presents an integrated environment that combines realistic simulations of both wireless sensor networks and structures. WCPS integrates Simulink and TOSSIM, a state-of-the-art sensor network simulator featuring a realistic wireless model seeded by signal traces. Second, release of WCPS in comprised of two realistic case studies each matching a structural model with wireless traces collected from real-world environments. The building study combines a benchmark building model and wireless traces collected from a multi-story building. The bridge study combines the structural model of the Cape Girardeau bridge over the Mississippi River and wireless traces collected from a similar bridge (the Jindo Bridge) in Korea. These case studies shed lights on the challenges of WSC and the limitations of a traditional structural controller under realistic wireless conditions.
WCPS is specifically design for, but not limited to, realistic Wireless Structural Control simulations. The layered system infrastructure and efficient integration of state-of-the-art control and wireless networking tools, i.e., Simulink and TOSSIM, have made WCPS an ideal choice for general wireless control simulations.
Contents
Software Environment Setup
MATLAB
TinyOS
PYTHON
Setup Testing
Wireless Network Modeling in WCPS
Application Layer
Mac Layer
Physical Layer
Real-world Wireless Traces
Traces from a 4-story building
Traces from a cable-stayed bridge
Example
Application layer code:
* navigation ** mainpage|mainpage ** Special:Recentchanges|Recent changes
Simulink Modeling in WCPS
General simulink modeling
Structural models in WCPS
Example
Application layer code:
* navigation ** mainpage|mainpage ** Special:Recentchanges|Recent changes
Integrated Simulation with WCPS
WSC Examples with WCPS
Wireless Building Control
Application layer code:
* navigation ** mainpage|mainpage ** Special:Recentchanges|Recent changes
Wireless Bridge Control
Application layer code:
* navigation ** mainpage|mainpage ** Special:Recentchanges|Recent changes
References
- B. Li, Z. Sun, K. Mechitov, G. Hackmann, C. Lu, S. Dyke, G. Agha and B. Spencer, "Realistic Case Studies of Wireless Structural Control," ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS'13), April 2013.
- Z. Sun, B. Li, S.J. Dyke and C. Lu, "Evaluation of Performances of Structural Control Benchmark Problem with Time Delays from Wireless Sensor Network," Joint Conference of the Engineering Mechanics Institute and ASCE Joint Specialty Conference on Probabilistic Mechanics and Structural Reliability (EMI/PMC'12), June 2012.
- H. Lee, A. Cerpa, and P. Levis. Improving wireless simulation through noise modeling. In IPSN, 2007.
- P. Levis, N. Lee, M. Welsh, and D. Culler. Tossim: Accurate and scalable simulation of entire tinyos applications. In Sensys, 2003.
