Multiple Objective Wireless Sensor Placement for Bridge Health Monitoring
This thesis presents a novel approach for optimising the placement of sensors in WSN for bridge health monitoring through the integration of Building Information Modelling (BIM) and advanced optimisation algorithms. BIM provides a comprehensive and accurate representation of the bridge structure and...
| Main Author: | |
|---|---|
| Format: | Thesis |
| Published: |
Curtin University
2023
|
| Online Access: | http://hdl.handle.net/20.500.11937/94589 |
| Summary: | This thesis presents a novel approach for optimising the placement of sensors in WSN for bridge health monitoring through the integration of Building Information Modelling (BIM) and advanced optimisation algorithms. BIM provides a comprehensive and accurate representation of the bridge structure and its properties, which serves as the foundation for sensor placement optimisation. The use of the advanced optimisation algorithms enables the efficient search for the optimal sensor placement, considering various constraints and requirements. |
|---|