Structural Health Monitoring Using Smart Sensors - ideals ...
Structural Health Monitoring Using Smart Sensors - ideals ...
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 />
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