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Inevitably, their estimation accuracy is limited in the network environments with bursty cross-traffic.
This model is then extended to the unmanned marine vehicle system in the network environments subject to control station-to-actuator, and both sampler-to-control station and control station-to-actuator packet dropouts, network-induced delays, and packet disordering.
A network-based model for the unmanned marine vehicle in the network environments is established for the first time by taking sampler-to-control station packet dropouts, network-induced delays, and packet disordering into account.
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It analyzes the machine-generated data from the network environment.
Although not perfect, know that the network environment will continue to improve.
Essentially it analyzes the machine generated data from the network environment.
This limitation may follow from the time overhead imposed by communication mechanisms of the network environment.
The network environment is defined by the fraction of selfish/misbehaving nodes within the total population.
Especially, we further explore the case when the network environment is dynamic.
Figure 6 shows the network environment that we considered for determining the threshold value.
In designing protocols, therefore, it is highly desirable to consider the network environment with no CCC.
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