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Different protocols and architectures have been designed to improve the performance of sensor networks.
In [17], we employed two metrics (namely, SDR and NEC) to evaluate the performance of sensor networks.
However, owing to limited battery power, the sensor networks demand energy efficient resolutions to enhance the performance of sensor network.
The proposed measure of contrast to characterize the performance of sensor permits an efficient and low cost single wavelength measurement.
We verify performance of sensor modules on static and dynamic bending deformations based on a single initial calibration step.
Thus, finding ways to test the performance of sensor networks about the transmitted image quality has provoked great interests in research fields.
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The mechanical properties of KSiNWs play important roles in the performance of sensors.
They also compared the performance of sensors with different graphene layers.
Fig. 11 Performance of sensors over soil penetration for three instrumented monopiles.
These advantages could provide convenience for further improving the performance of sensors.
Simulation results indicate that the dynamic performance of sensors is remarkably improved and enhanced using the proposed method.
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