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SmartHO: mobility pattern recognition assisted intelligent handoff in wireless overlay networks

机译:SmartHO:移动模式识别辅助无线覆盖网络中的智能切换

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摘要

Handoff management providing continuous mobility services is important for end-users in wireless overlay networks. The existing studies focus on improving the handoff performance with little attention to determine the current mobility pattern to provide different advanced services for end-users, and the handoff process is not intelligent as well. Due to the randomness and fuzziness of human mobility, predicting the mobility is still an open issue. In this paper, a mobility pattern recognition assisted intelligent handoff (SmartHO) is proposed. By exploring the regularity and rationality in the seemingly random daily itinerary and analyzing the typical mobility patterns, a spatial-temporal mobility pattern model is firstly constructed, and the mobility pattern recognition algorithm based on the joint space-time correlation then is designed. In different handoff cases, the specific handoff optimization strategies corresponding to the mobility patterns are employed to make the handoff process more intelligent. With the configurations from the authors real life, the simulations conducted on the NS-2 platform show that SmartHO outperforms FHMIPv6 in the critical handoff performance metrics.
机译:提供连续移动性服务的越区切换管理对于无线覆盖网络中的最终用户而言非常重要。现有的研究集中在提高切换性能上,很少注意确定当前的移动性模式以为最终用户提供不同的高级服务,并且切换过程也不是很智能。由于人类活动的随机性和模糊性,预测活动性仍然是一个悬而未决的问题。在本文中,提出了一种移动性模式识别辅助智能切换(SmartHO)。通过探索看似随机的日常行程中的规律性和合理性,并分析典型的出行方式,首先建立了时空出行方式模型,然后设计了基于联合时空相关性的出行方式识别算法。在不同的切换情况下,采用对应于移动性模式的特定切换优化策略以使切换过程更加智能。利用作者真实生活中的配置,在NS-2平台上进行的仿真表明,SmartHO在关键切换性能指标方面优于FHMIPv6。

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