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For example, ZigBee slots are equal to 30% (28 ms for ZigBee, 64 ms for WiFi), 50% (50 ms for ZigBee and 44 ms for WiFi), and 80%7979 ms for ZigBee and 14 ms for WiFi) of the TDMA period, respectively, resulting in a normalized throughput of about 23%, 35%, and 63%. Figure 12 Comparison between legacy saturation traffic and TDMA.
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Figure 12 Normalized throughput; top row: CCH (a) normalized throughput for L = 900 m (CCH), (b) normalized throughput for L = 500 m (CCH), (c) normalized throughput for L = 350 m (CCH); bottom row: SCH (d) normalized throughput for L = 900 m (SCH), (e) normalized throughput for L = 500 m (SCH), (f) normalized throughput for L = 350 m (SCH).
(a) Normalized throughput with different nodes.
The ZigBee throughput returns to 35% while the WiFi interferer reaches a normalized throughput of 45%.
The examples shown include a normalized throughput of about 23%, 35%, and 63% for the Zigbee traffic.
The sum in (9) describes the normalized throughput per channel due to a particular realization of the access vector {n j }.
As observed in the normalized throughput gain in Figure13b, we find that there exists a traffic load that maximizes the performance of the proposed scheme, achieving the maximum gain of 24% over the existing scheme.
Meanwhile, as the buffer size increases with the large packets, the opportunities of generous yielding becomes less frequent so as to make the throughput negligible, as observed in the normalized throughput gain in Figure12b.
It is again observed that a higher normalized throughput is achieved for ATBFQ compared to that in SB, and the curve lies to the right of the above-mentioned coordinates.
In addition, the normalized throughput increases over the iterations as expected.
An extensive set of simulations (OPNET [24]) and numerical calculations validate this model by showing very accurate results in terms of normalized throughput.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com