THROUGHPUT IMPROVEMENT IN DATA SWITCHED NETWORKS USING IMPROVED MARKOV MODULATED POISSON TECHNIQUE

Subject Area: COMMUNICATION SYSTEM ENGINEERING

In the rapidly evolving landscape of communication networks, the demand for higher throughput and efficient data transfer has become paramount. Data-switched networks, integral to our modern connectivity, face constant challenges in optimizing their performance to meet the ever-increasing demands of users and applications. This necessitates the aim of this paper tailored towards throughput improvement in data switched networks using improved Markov modulated Poisson technique. The data-switched network was characterized using field data. Matlab simulation was carried out to determine traffic congestion on the network. Matlab/Simulink model for effective capacity enhancement was developed using Poisson and Markov Processes. Results show that maximum throughput data occurs when the capacity of the network has not been exceeded. Results also showed that when signal-to-noise ratio was 10 and throughput was1 then the maximum effective capacity that can support optimum transmission rate is 0.32 bps. Results also show that a further increase in the transmission rate degrades the effective capacity performance. Also, when signal-to-noise ratio was 100 and the quality of service index was 1, then the maximum transmission rate obtained for effective network traffic capacity was 0.36 bps.