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A low-complexity fuzzy-logic-control-based vertical handoff decision algorithm with rough set theory

机译:基于粗糙集理论的低复杂度模糊逻辑控制垂直切换决策算法

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In many vertical handoff decision algorithms, various factors, such as the received signal strength, the available bandwidth, monetary cost, residual battery and so on, need to be taken into account to make a handoff decision. Among different kinds of vertical handoff decision (VHD) schemes, fuzzy-logic-based VHD algorithm has an advantage in dealing with incomplete and uncertain information. However, the computational complexity of fuzzy-logic-based VHD method follows an exponential increase with the number of input parameters, which limits its practicability. In this paper, a low-complexity fuzzy-logic-control-based (FLC-based) VHD algorithm is proposed for heterogeneous wireless networks. In proposed FLC-based VHD algorithm, a technique on the basis of rough set theory is put forward to reduce fuzzy logic decision rules and select core parameters as input criteria. Using these core parameters in fuzzy logic controller, the value of access network candidacy is estimated. And VHD is made based on access network candidacy. Simulation results show that the proposed low-complexity FLC-based VHD algorithm can dramatically reduce the handoff decision time, as well as achieve almost the same network selection performance compared to the original FLC-based VHD algorithm, and better network selection performance compared to the FLC-based VHD algorithm with the same number of input parameters.
机译:在许多垂直越区切换决策算法中,需要考虑各种因素,例如接收信号强度,可用带宽,货币成本,剩余电池电量等,以做出越区切换决策。在不同类型的垂直切换决策(VHD)方案中,基于模糊逻辑的VHD算法在处理不完整和不确定的信息方面具有优势。但是,基于模糊逻辑的VHD方法的计算复杂度随着输入参数数量的增加而呈指数增长,从而限制了其实用性。本文针对异构无线网络,提出了一种基于低复杂度模糊逻辑控制(FLC)的VHD算法。在提出的基于FLC的VHD算法中,提出了一种基于粗糙集理论的技术,可以减少模糊逻辑决策规则,选择核心参数作为输入准则。利用模糊逻辑控制器中的这些核心参数,可以估算出接入网络的候选值。而VHD是基于接入网候选资格而制作的。仿真结果表明,所提出的基于低复杂度基于FLC的VHD算法可以大大减少切换决策时间,并且与原始的基于FLC的VHD算法相比可以获得几乎相同的网络选择性能,并且与原始的基于FLC的VHD算法相比具有更好的网络选择性能。具有相同数量输入参数的基于FLC的VHD算法。

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