预测无线移动网络下一链路变化时间的二叉搜索算法

Q4 Business, Management and Accounting
N. Meghanathan
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引用次数: 0

摘要

我们提出了一种对数时间复杂度的二叉搜索算法来预测无线移动网络(WMN)中下一个链路变化的时间。算法的搜索空间范围从当前时间瞬间(初始左索引)到模拟最后时间瞬间(初始右索引)。该算法始终保持WMN在左侧索引对应的时间瞬间没有发生任何链路变化,而在右侧索引对应的时间瞬间至少发生了一次链路变化的不变性。该算法经过一系列迭代(每次迭代的搜索空间减少一半),直到右索引和左索引之间的差值在终止阈值(e)内。我们还表明,下一个链接变化的预测时间遵循指数分布,特别是对于较低的终止阈值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Binary search algorithm to predict the time of next link change in wireless mobile networks
We propose a binary search algorithm of logarithmic time complexity to predict the time for next link change in a wireless mobile network (WMN). The search space for the algorithm ranges from the current time instant (initial left index) to the last time instant of the simulation (initial right index). The algorithm always maintains an invariant that the WMN has not undergone any link change at the time instant corresponding to the left index and has undergone at least one link change at the time instant corresponding to the right index. The algorithm goes through a sequence of iterations (the search space reduces by half in each iteration) until the difference between the right index and left index is within a termination threshold (e). We also show that the predicted times of next link changes follow an exponential distribution, especially for lower values of the termination threshold.
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来源期刊
International Journal of Mobile Network Design and Innovation
International Journal of Mobile Network Design and Innovation Business, Management and Accounting-Management Information Systems
CiteScore
0.30
自引率
0.00%
发文量
0
期刊介绍: The IJMNDI addresses the state-of-the-art in computerisation for the deployment and operation of current and future wireless networks. Following the trend in many other engineering disciplines, intelligent and automatic computer software has become the critical factor for obtaining high performance network solutions that meet the objectives of both the network subscriber and operator. Characteristically, high performance and innovative techniques are required to address computationally intensive radio engineering planning problems while providing optimised solutions and knowledge which will enhance the deployment and operation of expensive wireless resources.
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