An Information Flow Evaluation Algorithm Based on Random Discrete Model
A discrete model and information flow technology, applied in digital transmission systems, electrical components, transmission systems, etc., can solve problems such as difficult to quantitatively evaluate network performance, and achieve the effect of facilitating computer implementation, accurate evaluation results, and convenient evaluation process.
Active Publication Date: 2017-05-24
CHENGDU UNIVERSITY OF TECHNOLOGY
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[0004] The purpose of the present invention is to provide an information flow evaluation algorithm based on a random discrete model, quantitatively evaluate the performance of the entire network by quantitatively measuring the queue length and queue density of data packets, and solve the problem of quantitatively evaluating network performance that is difficult to solve in the prior art question
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[0032] The invention is mainly used for data transmission of network information, and the purpose of quantitatively evaluating network performance is achieved through the invention.
[0033] As we all know, in the prior art, the transmission process of network information is as follows: figure 1 Shown: A network information transmission from the data sending end to the data receiving end usually requires a sending end router and a receiving end router, and between the sending end router and the receiving end router, depending on the situation, other routers may be required For information forwarding; when information is transmitted, network information is first divided into multiple smaller data packets through fragmentation technology, and then reaches the destination terminal through one or more routers or wireless nodes. When these data packets arrive at the destination terminal, under the control of the network protocol, the data receiving end assembles all the data packet...
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The invention discloses a random discrete model which comprises R routers or wireless nodes between a data sending end and a data receiving end in network communication. R is a natural number. Buffers of all the routers or the wireless nodes are straightened and laid flatly, and are connected in sequence to form a straight line, and a one-dimensional lattice model for communication network data transmission is formed. Correspondingly, the invention further discloses an algorithm applying the random discrete model to evaluating communication network performance. Through the algorithm, a network performance evaluation model is simplified, quantitative evaluation can be achieved on the communication network performance, network performance evaluation is simpler and more accurate, and great application value and research significance are achieved.
Description
technical field [0001] The invention relates to a communication network performance estimation method, in particular to an information flow evaluation algorithm based on a random discrete model. Background technique [0002] At present, for network performance evaluation, theoretically, Claude Shannon theory is used to estimate the maximum data rate of the network. However, due to the irregular and unbalanced network topology, the complexity of network transmission protocols, the collective behavior of users, the rapid increase of network nodes, the different data requirements, and the high asymmetry of network dynamics, Crow De Shannon's estimation does not reflect the actual performance of the network very well. In practical applications, the performance of the communication network and the average delay can only be estimated qualitatively by using the data packet queue model. Although this method is universal, it can only perform qualitative analysis and evaluation in t...
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IPC IPC(8): H04L12/26
Inventor 刘明哲左卓庹先国李怀良王磊杨剑波成毅王洪辉
Owner CHENGDU UNIVERSITY OF TECHNOLOGY