A Model of Forming a Dynamic Structure for Establishing the Source of Messages in the Receiver's Memory

А. A. Chesnokova
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Abstract

The purpose of research is increasing the speed of procedures for determining the data source in the block coupling mode, due to the analysis of the dynamic list structure of messages formed in the receiver's memory as a result of intermediate calculations.Methods. The model of forming a dynamic list structure is based on the hardware implementation of the method of limiting the set of data blocks processed by the receiver. The data package includes a special service word, the contents of which are checked for falling into the range of values formed by the receiver when each data block is received. The described restriction reduces the number of typical comparison operations of service words performed when determining the source of messages, and also reduces the likelihood of errors in determining the data source.Results. Based on the model of the formation of a dynamic tree-like list structure, distributions of a priori probabilities of the number of nodes of a certain level are obtained in case of errors in determining the data source and without them. This allows us to obtain significant a posteriori error probabilities depending on the observed number of nodes of a certain level. The criteria for making a decision on the error of determining the source based on the calculation of the number of nodes before the complete completion of the formation of the tree structure and before the stage of its analysis are formulated. This reduces the computational complexity of the procedure for determining the data source in the block coupling mode and reduces the memory costs for storing intermediate results.Conclusion. In the course of the study, it was revealed that for sequences of messages with a length of more than 20, the detection of more than 8 extraneous branches of the dynamic list structure being formed allows us to state with a 90% probability that the procedure for determining the source ended in an error. The refusal to transmit subsequent sequence messages and to perform processing operations of the tree structure allows to increase the speed of the procedure for determining the source of messages and reduce its computational complexity.
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在接收者记忆中建立信息来源的动态结构模型
研究的目的是通过分析接收器内存中经过中间计算形成的报文动态列表结构,提高在块耦合模式下确定数据源的程序速度。形成动态列表结构的模型是基于硬件实现限制接收器处理的数据块集的方法。数据包包括一个特殊的服务字,在接收每个数据块时,都要检查其内容是否属于接收器形成的值范围。所述限制减少了确定信息来源时对服务字进行典型比较操作的次数,也降低了确定数据来源时出错的可能性。根据动态树状列表结构的形成模型,在确定数据源时出错和不出错的情况下,都能获得某一级别节点数量的先验概率分布。这样,我们就可以根据观测到的某一级节点数量,获得重要的后验错误概率。在完全完成树形结构的形成之前和分析阶段之前,根据节点数的计算,制定了确定来源错误的判定标准。这降低了块耦合模式下确定数据源程序的计算复杂性,并减少了存储中间结果的内存成本。在研究过程中,我们发现,对于长度超过 20 的报文序列,如果检测到正在形成的动态列表结构中有超过 8 个无关分支,我们就能以 90% 的概率指出,确定来源的程序以错误告终。拒绝传输后续序列报文和对树形结构进行处理操作,可以提高确定报文来源程序的速度,并降低其计算复杂性。
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