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

SmartHO: mobility pattern recognition assisted intelligent handoff in wireless overlay networks
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SmartHO:移动模式识别辅助无线覆盖网络中的智能切换

DOI:
10.1007/s00500-015-1747-9
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发表时间:
2015-06
期刊:
影响因子:
4.1
通讯作者:
Zhang Jie
Zhang Jie
中科院分区:
计算机科学3区
文献类型:
--
作者:
Tao Ming;Yuan Huaqiang;Hong Xiaoyu;Zhang Jie

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提供连续移动服务的切换管理对于无线覆盖网络中的最终用户来说非常重要。现有的研究主要集中在提高切换性能上,很少关注确定当前的移动模式来为最终用户提供不同的高级服务,并且切换过程也不是智能的。由于人类流动性的随机性和模糊性,预测流动性仍然是一个悬而未决的问题。本文提出了一种移动模式识别辅助智能切换(SmartHO)。通过探究看似随机的日常行程中的规律性和合理性,分析典型的出行模式,首先构建时空出行模式模型,设计基于联合时空相关性的出行模式识别算法。在不同的切换情况下,采用与移动模式相对应的特定切换优化策略,使切换过程更加智能。根据作者现实生活中的配置,在 NS-2 平台上进行的模拟表明,SmartHO 在关键切换性能指标上优于 FHMIPv6。
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.
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