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The data arrivals and energy harvested from surrounding both randomly arrived at the transmitter, in addition the wireless channels fluctuate randomly, without knowing their statistical probabilities.
Our model also has stochastic data arrivals at the source nodes.
We assume that the data arrivals and transmission rates have finite mean and variance.
Hence, we consider the system at the embedded points, corresponding to the data arrivals and departures.
Now, we consider the relaying networks where both data arrivals and channel conditions follow Bernoulli distribution.
Next, we remove this assumption and find online policies with causal energy and data arrivals using dynamic programming.
Similar(9)
Third, since we cannot control the order of the data arrival, critical to consider the order of the arrived data values, hence their temporal attribute is essential.
Remarkably, it does not require any knowledge of the data arrival rates and is provably optimal.
In many applications involving continuous data streams, data arrival is bursty and data rate fluctuates over time.
A threshold N has been derived to obtain minimum power consumption for the sensor node while considering each different data arrival rate.
The built up of the relationship between the number of slots and the data arrival enhances the resource utilization performance for each slot.
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