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Dynamic implementation of network selection policies

机译:动态执行网络选择策略

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The issue of efficiently selecting the best available wireless network by a mobile device is an area of active research. Many researchers have proposed several strategies and policies for selecting the appropriate network. These policies differ among each other due to various reasons. The state and load of networks, number and types of wireless networks considered, and preferences of users are some of the reasons that attribute to differences in those proposed policies. As a result, the applicability and efficiency of those policies depend upon certain situations and circumstances. We propose, in this paper, a new concept that will help in utilizing these various policies in a manner that will give better results in a longer run and in various kinds of situations. We have a pool of policies available, and our proposed method will select the policy that is most appropriate according to the current state of user. We modeled this problem as a Markov Decision Process. In the end we provide some heuristics to support our work.
机译:通过移动设备有效选择最佳可用无线网络的问题是一个积极研究的领域。许多研究人员提出了几种选择适当网络的策略和政策。由于各种原因,这些策略彼此不同。网络的状态和负载,所考虑的无线网络的数量和类型以及用户的偏好是造成这些提议的策略差异的一些原因。结果,这些政策的适用性和效率取决于某些情况。在本文中,我们提出了一个新概念,该新概念将有助于以各种方式使用这些各种策略,从而在更长的运行时间和各种情况下提供更好的结果。我们有一组可用的策略,我们提出的方法将根据用户的当前状态选择最合适的策略。我们将此问题建模为马尔可夫决策过程。最后,我们提供了一些启发方法来支持我们的工作。

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