Estimation of Playout Time in Networks using Fuzzy Logic Approach

Network quality of service is mainly affected by deficiencies such as jitter, packet loss, and delay. Network jitter as a variable delay represents a serious problem in communication networks. Several attempts have been made to adjust the playout time of packets at the network node, which suffers from variable delay. Some of these attempts tend to make the playout time fixed; another advanced contribution is to have an adaptive scheme to cope with the variable network conditions. In this paper the optimal use of artificial intelligence as an effective tool for taking smart decisions is proposed as a solution to adapt the playout time. First an algorithm was developed to simulations single node in network in different conditions. Several network behavior patterns were extracted from these simulations to represent diverse jitter responses. Next, we introduce an adaptive approach using fuzzy logic model to estimate the playout time. The algorithm has been tested against different network condition patterns. Results reveal that the proposed approach has good results versus various delay conditions. Finally, a comparison has been made to evaluate the performance of the fuzzy logic approach.