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We give an algorithm to construct minimum makespan transmission schedules for data gathering under the following hypotheses: the communication graph G is a tree network, the transmissions in the network can interfere with each other up to distance m, where m≥2, and no buffering is allowed at intermediate nodes.
We attribute this pattern to different schedules for data coming into the system as well as batch output and other batch processing.
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There's no depreciation schedule for data — despite the fact that we know data can become obsolete over time.
Round-robin best channel scheduling is selected for VoIP traffic and proportional fair scheduling for data traffic.
Huang et al. [11] presented a first-fit scheduling for data aggregation based on a CDS tree.
In contrast to the opportunistic scheduling, which requires a heavy load of channel estimations or a heavy feedback each transmission time, in the MUSwiD scheme, once a checked user satisfies a predetermined switching threshold, it is scheduled for data reception.
For a UE scheduled for data transmission (say, UE 1), the transmission attempt could be a failure if the channel is sensed to be occupied by some WiFi user.
With this algorithm, each and every active link in the network cooperatively calibrates its environment and converges to a desired link schedule for data transmissions within a time frame of multiple slots.
For the third study, home visits were scheduled for data to be collected using laptop computers.
The detailed schedule for data collection is shown in Table 1.
The order and time schedule for data collection is shown in Figure 1.
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