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Design novel weighted rating of multiple attributes scheme to enhance handoff efficiency in heterogeneous wireless networks

机译:设计新颖的多属性加权评级方案,以提高异构无线网络中的切换效率

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With the availability of multiple access interfaces, mobile device users can move between heterogeneous wireless networks. Service providers now must try harder to satisfy their users by ensuring connection service quality. The vertical handoff scheme plays an important role in this endeavor. We propose a novel handoff scheme that features two operating processes: attributes rating and network ranking. A self-developed WRMA (Weighted Rating of Multiple Attributes) method is used to rate attributes. TOPSIS is employed to rank networks. The WRMA-based handoff scheme, as we shall call it hereafter, select an AHP-SAW handoff model to compare with. The WRMA, which rates attributes directly, is relatively simple to use. Further, TOPSIS was found to be more precise than SAW in ranking networks. We also compared our handoff scheme with the traditional NIST signal handoff model. Four Key Performance Indicators of packet drop ratio, delay, jitter and throughput were applied in our experiments. Results demonstrate our handoff scheme outperformed the NIST model in lowering packet drop ratio for all four traffic types. Higher average throughput is achieved. Experiments also show improvements on packet delay and jitter. Such improvements can significantly enhance link service quality, making it more suitable for voice and video traffic applications.
机译:利用多个访问接口的可用性,移动设备用户可以在异构无线网络之间移动。服务提供商现在必须通过确保连接服务质量来更加努力地满足他们的用户。垂直切换方案在这一努力中起着重要作用。我们提出了一种新颖的切换方案,该方案具有两个操作过程:属性评级和网络排名。自行开发的WRMA(多个属性的加权评分)方法用于对属性进行评分。使用TOPSIS对网络进行排名。我们将在下文中称其为基于WRMA的切换方案,选择一个AHP-SAW切换模型进行比较。直接评估属性的WRMA使用起来相对简单。此外,在排名网络中,发现TOPSIS比SAW更精确。我们还将切换方案与传统的NIST信号切换模型进行了比较。在我们的实验中使用了四个关键性能指标:丢包率,延迟,抖动和吞吐量。结果表明,我们的切换方案在降低所有四种流量类型的丢包率方面均优于NIST模型。实现了更高的平均吞吐量。实验还显示了数据包延迟和抖动方面的改进。此类改进可以显着提高链接服务质量,使其更适合于语音和视频流量应用。

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