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Evolutionary Multi-Channel Management based on Mobility in Multi-Hops Heterogeneous Wireless Networks

机译:多跳异构无线网络中基于移动性的演进式多信道管理

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This paper develops an evolutionary multiple channel management based on mobility in multiple hop wireless network. The n-hops limitation theories are proposed first. Based upon these theories, the enhanced multiple channel management is proposed which consists of channel assignment method and topology prediction method. The channel assignment method is based on the enhanced genetic algorithm. Mobile devices are assigned different data channels individually and can be directly established without any RES message cost. All mobile nodes can communicate based upon the assigned potential channels. Also, due to the change of topology of all mobile devices, a topology prediction method is proposed to predict the velocities and directions of all mobile nodes. Simulation shows that the proposed management can make the success communication about 9.7~129.3% more than the competing algorithm.
机译:本文开发了一种基于移动性的多跳无线网络演进的多通道管理。首先提出n跳限制理论。基于这些理论,提出了一种增强的多信道管理方法,该方法包括信道分配方法和拓扑预测方法。信道分配方法基于增强的遗传算法。分别为移动设备分配了不同的数据通道,并且可以直接建立移动设备,而无需花费任何RES消息。所有移动节点都可以基于分配的潜在信道进行通信。另外,由于所有移动设备拓扑的变化,提出了一种拓扑预测方法来预测所有移动节点的速度和方向。仿真表明,与竞争算法相比,所提出的管理方法可以使成功通信的效率提高约9.7〜129.3%。

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