Optimal Analysis of a Communication Network Model
AUTHORS
N. Thirupathi Rao,Department of Computer Science and Engineering, Vignan’s Institute of Information Technology (A), Visakhapatnam-530049, AP, India,
Debnath Bhattacharyya,Department of Computer Science and Engineering, Vignan’s Institute of Information Technology (A), Visakhapatnam-530049, AP, India,
ABSTRACT
This paper tends to the original thought of using compound Poisson binomial process for creating and investigating a two-hub couple communication coordinate with two-phase landings and Dynamic Bandwidth Allocation (DBA). Here it is accepted that two hubs are associated pair and messages touch base to the first and second supports are associated with an irregular number of bundles and put away in cradles for forward transmission. Entries are portrayed by compound Poisson binomial procedures in the two cradles which coordinate close with the reasonable circumstance. The transmission forms in both the transmitters are expected to take after unique transfer speed allotment which is portrayed by stack reliant on time. Utilizing distinction differential conditions and joint likelihood producing capacity the transient conduct of the framework is examined. The execution of the system is assessed by determining unequivocal articulations for the execution measures, for example, mean substance of the cradles, mean postponements, throughput of the hubs and usage of transmitters. Numerical representations are displayed to examine the impact of changes in input parameters on framework execution measures. With reasonable cost contemplations, the ideal working strategies of the communication networks are determined and broke down. It is watched that the compound Poisson binomial mass landings dissemination parameters have noteworthy impact on framework execution measures. Dissecting the two-phase coordinate landings enhances the system execution and diminish clog in cradles and mean postponements.
KEYWORDS
Communication networks, DBA, Queuing models, Bandwidth, Throughput, Optimal values, Optimization, Sensitivity
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