Structural health monitoring (SHM) using wireless sensor networks (WSNs) has gained research interest due to its ability to reduce the costs associated with the installation and maintenance of SHM systems. SHM systems have been used to monitor critical infrastructure such as bridges, h
Strucutre health monitoring
Structural health monitoring (SHM) using wireless sensor networks (WSNs) has gained research interest due to its ability to reduce the costs associated with the installation and maintenance of SHM systems. SHM systems have been used to monitor critical infrastructure such as bridges, high-rise buildings, and stadiums and has the potential to improve structure lifespan and improve public safety. The high data collection rate of WSNs for SHM pose unique network design challenges.A comprehensive survey of SHM using WSNs outlining the algorithms used in damage detection and localization, outlining network design challenges and future research directions. Solutions to network design problems such as scalability, time synchronization, sensor placement, and data processing are compared and discussed. This survey also provides an overview of testbeds and real-world deployments of WSNs for SH.
In WSNs for SHM sensors are deployed at various locations throughout a structure. These sensors collect information about their surrounding such as acceleration, ambient vibration, load and stress at sampling frequencies upwards of 100 Hz [5]. Hence, the sensing and sampling rates and amount of collected data are much higher than those in other applications in WSNs; and as a result, WSNs for SHM introduce challenges in network design. Sensor nodes transmit the sensed data to the sink either directly or by forwarding each other’s packets. Data aggregation and processing is necessary for the detection and localization of structural damage and can occur in different locations (e.g., nodes, cluster-heads, and/or central server) depending on the network topology. Typically, damage detection requires the comparison of the structure’s present modal features to those associated with the structure’s undamaged state. Modal features of a structure are mainly represented by the mode shapes – the natural vibration pattern for a given structure.

| Metric | Wired Sensor Networks | Wireless Sensor Networks |
| Cost | Very high, real world examples costing $10,000 to $25, 000 [8] | Low, each sensor node costing approximately $500 [8] |
| Deployment Time | Very long, one real world example taking several days [9] | Short, same real world example taking a half hour [9] |
| Lifespan | Long, typically limited by hardware lifespan | Short, typically limited by node battery lifespan |
| Number of Sensors | Typically low due to sensor installation difficulty | Typically higher due to ease of sensor installation |
| Connection Bandwidth | High bandwidth due to wired connection | Limited bandwidth and unreliable connection |
| Data Rate | High sensor data rates | Lower sensor data rates but higher than conventional WSNs |
| Sensor Synchronicity | Very high due to wired connections. | Concern due to wireless connection. |
Cost effective
Metric
Cost
Deployment Time
Lifespan
Number of Sensors
Connection Bandwidth
Data Rate
Sensor Synchronicity
In general, SHM requires the installation of a large number of sensors throughout a structure capable of collecting sensed data. The collected data is processed such that decisions about the structure’s overall health can be made. This section provides a comprehensive overview of the components and processes involved in SHM using WSN. This section begins with an overview of commonly sensed structural health parameters and then an overview of the type of sensors used
| Elapsed time in (days or weeks or month or quarter) since start of the project | Milestone | Deliverable |
|---|---|---|
| Month 1 | Project study | Understanding of project |
| Month 2 | Working in simulation | Simulate |
| Month 3 | Hardware purchasing | Purchase nessecary hardware |
| Month 4 | Implement in real time | Real time imolementstion |
| Month 5 | Result analysis | Analyzing results of structure health in campus |
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