Sentence examples for minimization in sensor from inspiring English sources

Energy minimization in sensor networks has been analyzed in many recent works [4 6].

The main novelty of this paper lies in finding efficient power allocation schemes for distortion or estimation outage minimization in a clustered wireless sensor network measuring a point Gaussian source, unlike the previous papers where either distortion for static channels or an average distortion (averaged over ergodic fading channels) is minimized with respect to sensor transmit powers.

The paper shows a design optimization of a pressure sensor packaging towards minimization of sensor drift due to stresses induced by moisture uptake.

We propose a cross-layer approach to tackle such a minimization in centralized networks for the total transmission energy consumption of the network: in the physical layer, for each sensor the sink estimates the channel gain and adaptively selects a modulation scheme; in the MAC layer, each sensor is correspondingly assigned a number of time slots.

The performance of the error-entropy minimization is compared with the mean-square-error minimization in the simulation results.

These approaches assume that there is a notion of minimization in the sequence space.

All the models were then put through energy minimization in MODELLER with fixed backbones.

Energy Minimization: In this step the actual energy minimization process is performed and corresponds to the Gromacs command 'mdrun'.

Built-in motion sensors do the trick.

This minimization results in a 12.5% reduction in distortion.

Motivated by the availability of limited energy in the sensor networks, we undertake the design of power allocation based on minimization of the reconstruction distortion subject to a constraint on the network transmit power.