The electric power grid, which is a prominent example of such systems, is being integrated with high throughput sensors in order to support stable system dynamics that are provisioned to be utilized in real-time supervisory control applications.
Notably, this selectivity-based high-throughput sensor differentiated between cells, employing a nondestructive protocol that required only a single well of a microplate for detection.
Therefore, high-throughput sensors for multiplexed identification would help improve patient care.
From a POC perspective, combination of array-based sensors with microfluidic chips can allow high-throughput sensors.
Figure 9 Throughput of sensor node vs. sensor's generate rate.
We also propose an application metrics estimation model, which is leveraged by our dynamic optimization methodology, to estimate high-level application metrics (e.g., lifetime, throughput) from sensor node tunable parameters and hardware specific internals.
The throughput of sensor j at time t is an increasing function of the SINR j (η t, p t ).
At the same time, it can been seen from the following experiment that the network throughput of sensor node is small when the system creates a single routing path among actors, due to the huge gap of transmission capacity between actors and sensor nodes.
Therefore, the throughput of sensors in the i t h UP can be represented by S i = P i, suc P tr E [ x ] ( 1 − P tr ) T s + P i, suc P tr T + ( 1 − P i, suc ) P tr T c, (6).
