The best service mechanism in multimedia wireless sensor networks can be achieved based on the multimedia traffic flow by developing a proper simulation algorithm process model, to be a trustable indication for real implementations, which is proposed in this article, together with the algorithm model outcome analysis. The quality estimation of the proposed mechanism is investigated by simulating real data transmission and obtaining the integral criterion of the processed mechanism, to determine the queue formation and loading control. Accordingly, it was proved that the first-in first-out algorithm is not useful as a flow algorithm; however, it is regarded as suitable to be considered as the benchmark algorithm when compared with the other algorithms such as priority queue, custom queue, fair queuing, and weighted fair queuing algorithms. Finally, each algorithm’s advantages and disadvantages were verified and the best usage conditions according to certain parameters, such as packet loss probability, average time delay, and jitter, were declared.
Background: Multi-Service Streams Network (MSSN) has become such a popular technique in modern applications including, medical fields for E-health applications, such as medical systems and patient monitoring network systems. Recent E-health researches intend to compare MSSN data communications with traditional methods such as on the internet. Methods: Based on the above-mentioned fact, the proposed work in this paper is directed to obtain detailed analysis of the MSSN applied over E-health, using the G/G/1 analysis method, including traffic probabilistic-time characteristics to establish its self-similar processes. Moreover, the paper proposes the purpose of estimating the queue service efficiency and overload management by the essential criterion, which takes into account the time delay, time jitter, and the packet loss probability expected in the E-health applications. Based on the necessary standard for the proposed uses, the results of queue operations and also relevant buffer space algorithms are evaluated. Moreover, the estimated qualitative measurement of the network development for the proposed model is obtained and compared with the most common techniques adapted in E-health applications. Results: The collected results show that MSSN is an applicable technique to be applied over the E-health applications mainly on its excellent time delay, jitter, packet losses probability and others. Conclusions: The main aim of this paper is to obtain a full detailed analysis on the MSSN that is applied over E-health applications, using the mass service capacity for the mathematical model class G/G/1 in the most general case of a single-channel system.
The optimal load distribution over a set of independent paths for Multi-Protocol Label Switching for Traffic Engineering (MPLS-TE) networks is regarded as important issue; accordingly, this paper has developed a mathematical method of optimal procedures for choosing the shortest path. As a criterion for choosing the number of paths, a composite criterion is used that takes into account several parameters such as total path capacity and maximum path delay. The mathematical analysis of using the developed method is carried out, and the simulation results show that there are a limited number of the most significant routes that can maximize the composite quality of service indicator, which depends on the network connectivity and the amount of the traffic. The developed technological proposals allow increasing the utilization factor of the network by 20%.
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