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Fig. 3 Block diagram of the uplink data differentiating algorithm at the DeNB (left), Data differentiation algorithm for the downlink packets at the DeNB (right).

The proposed architecture is complementary to any differentiation algorithm used by the routers.

The block diagram of the downlink data differentiation algorithm implemented at the DeNB is given in Fig. 3 (right).

The block diagram of the uplink data differentiation algorithm implemented at the DeNB is provided in Fig. 3 (left).

The method processed infrared images with a simple spatial pixel differentiation algorithm to determine temperature gradients, where the absolute temperature value was no longer required.

Simulations are carried out to evaluate the loss differentiation algorithm with various network configurations, such as with different competing flows, wireless loss rate and queue size.

We compared the throughput with the main TCP versions and loss differentiation algorithms.

Several loss differentiation algorithms have been proposed for improving the performance of TCP.

Because accuracy is one of the most important metric used in loss differentiation algorithms for evaluting the performance in addition to end-to-end throughput.

However, the results of these studies were not very promising because the developed methods require help from other network elements such as base stations or routers, and the proposed differentiation algorithms did not perform well.

The random loss differentiation algorithms such as TCP CERL and TCP Veno cannot perform well according to the different reorder rates because these solutions has no mechanism to detect the reorder packets and results in the degradation of throughput.