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Structural Health Monitoring Using Smart Sensors - ideals ...

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Correlation function estimate (m 2 /s 4 )<br />

2<br />

4<br />

0 0.1 0.2 0.3 0.4 0.5<br />

Time (sec)<br />

– <br />

Figure 5.4. A correlation function estimate.<br />

4<br />

2<br />

0<br />

associated quantization error. Because the difference between these two signals is smaller<br />

than , only the estimate on the Imote2 is shown on Figure 5.4.<br />

Data transferred in a network is reduced as explained in section 5.1.2. In this example,<br />

data transmission is reduced by a factor of 5, as compared to centralized correlation<br />

function estimation implementation. This reduction factor can be larger depending on the<br />

number of sensors and the associated averaging. This reduction shows the advantage of<br />

the distributed correlation function estimation.<br />

Further consideration is necessary to accurately assess the efficacy of the distributed<br />

implementation. Power consumption of smart sensor networks is not simply proportional<br />

to the amount of data transmitted. Acknowledgment messages are also involved. The<br />

radio listening mode consumes power, even when no data is received. However, the size<br />

of the measured data is usually much larger than the size of the other messages to be sent<br />

and should be considered the primary factor in determining power consumption. Small<br />

data transfer requirements realized by the proposed model-based data aggregation<br />

algorithm will lead to reduced power consumption.<br />

5.2 Reliable communication<br />

RF communication is not reliable unless lost packets are specifically addressed.<br />

Packets may not be transmitted properly. When the distance between nodes is too long,<br />

packets may not reach the destination. Multiple nodes trying to send packets at the same<br />

time can cause packet collisions. If packets carrying commands are lost, destination nodes<br />

fail to perform certain tasks. The sender is unsure whether the destination nodes have<br />

received commands. If packets carrying measurement data are lost, destination nodes<br />

cannot fully reconstruct the sender's data. Therefore, packet loss may cause a system to be<br />

in an unknown state and may degrade measurement signals. SHM applications employing<br />

smart sensors must address packet loss.<br />

56

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