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The probability of collisions of transmitting beacons and data packets can be decreased, because the beacon transmission time and active period length are accurately managed by SABTS.
In addition, we will aim to consider the support of infrastructure to further improve the end-to-end delay in sparse urban scenarios as well as additional mechanisms to limit the overhead inserted in beacons and data messages.
Finally, the ZigBee specification does not mandate the method for computing the LDR estimation, but it suggests two options: the first one is based on counting received beacons and data frames and observing the appropriate sequence numbers; the second one is based on the use of average LQI, which is mentioned as "the most straightforward method" in the specification [4].
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The main challenge in the cluster tree network is the collisions between beacons or even between beacon and data frames, which degrades the network performance.
In the FDD mode, UL and DL operate over distinct frequency bands which gives rise to uncorrelated fading between beacon and data (signaling and communication) channels.
The main challenge in the cluster tree network of IEEE 802.15.4 beacon-enabled mode is the collisions between beacons or even between beacon and data frames, which degrades the network performance[2 4].
The probability of successful transmission of IEEE 802.15.4 standard decreases more as traffic load increases because the heavy collision occurs either between beacons or between beacon and data frame.
By avoiding the dominant interferers through the coordination procedure, the tagged receiver performance significantly improves, whereas the extent of the coordination gains depend on the correlation between beacon and data channels.
In [18], the authors focus on how to decrease the collisions between beacons or even between beacon and data packets by adjusting the beacon starting times of PAN and coordinator nodes for cluster tree topology, which only considers for the part of CAP but not for GTS slot allocation in the corresponding Markov chain model.
In this article, SABTS has been proposed to adjust two system parameters of superframe (i.e., BO and SO) and set the precise time for beacon transmission to achieve low energy consumption and to alleviate the collision of beacon and data packet transmissions.
Figure 14 Results with 95% confidence intervals for the message overhead introduced by AMD and UV-CAST for: beacons (a) and data messages (b).
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