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arXiv 1607.00604cs.NIcs.ITmath.IT
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采用TDMA技术的无线和移动网络中的消息路由

Message Routing in Wireless and Mobile Networks using TDMA Technology

Timotheos Aslanidis, Leonidas Tsepenekas

摘要:

在通信在现代社会中扮演着重要角色的时代,设计有效的数据传输算法至关重要。TDMA是一种用于许多通信系统的技术,例如卫星、蜂窝电话以及其他无线或移动网络。大多数2G蜂窝系统以及一些3G是基于TDMA的。为了在此类系统中传输数据,我们需要将它们聚集在包中。为了实现更快的传输,我们允许抢占任何数据包的传输,以便稍后恢复。抢占可用于减少某些站点的空闲。然而,这种抢占伴随着重新配置成本,以便为下一次传输进行设置。在本文中,我们提出了两种算法,产生改进的传输调度。这两种算法分别称为MGA和IMGA(Improved MGA)。我们已经证明了MGA的近似比,并通过实验证明它在实践中工作得更好。为了得出结论,MGA将是一个非常有用的工具,在构建一个改进的时间表,使用抢占与设置成本的数据包路由,我们比较它的结果,其他两个有效的算法设计的研究人员在过去:A-PBS(d+1)和GWA。为了确定IMGA的效率,我们进行了与MGA以及A-PBS(d+1)和GWA相比的实验。IMGA已被证明在所有方面都能产生最有效的时间表。

英文摘要:

In an era where communication has a most important role in modern societies, designing efficient algorithms for data transmission is of the outmost importance. TDMA is a technology used in many communication systems such as satellite, cell phone as well as other wireless or mobile networks. Most 2G cellular systems as well as some 3G are TDMA based. In order to transmit data in such systems we need to cluster them in packages. To achieve a faster transmission we are allowed to preempt the transmission of any packet in order to resume at a later time. Preemption can be used to reduce idleness of some stations. Such preemptions though come with a reconfiguration cost in order to setup for the next transmission. In this paper we propose two algorithms which yield improved transmission scheduling. These two algorithms we call MGA and IMGA (Improved MGA). We have proven an approximation ratio for MGA and ran experiments to establish that it works even better in practice. In order to conclude that MGA will be a very helpful tool in constructing an improved schedule for packet routing using preemtion with a setup cost, we compare its results to two other efficient algorithms designed by researchers in the past: A-PBS(d+1) and GWA. To establish the efficiency of IMGA we ran experiments in comparison to MGA as well as A-PBS(d+1) and GWA. IMGA has proven to produce the most efficient schedule on all counts.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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