| 结合个体移动规律的机会网络混合转发机制 |
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| 引用本文： | 余桂兰.结合个体移动规律的机会网络混合转发机制[J].科学技术与工程,2012,12(29):7630-7634. |
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| 作者姓名： | 余桂兰 |
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| 作者单位： | 广东石油化工学院 |
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| 摘 要： | 为了更好地解决机会网络中的数据转发问题,通过分析人类个体移动规律对机会网络数据转发的影响,提出了一种基于人类移动模式的混合转发机制。混合转发机制通过多因素集选取中继节点,在不同的节点运动状态下采取不同的数据转发策略,以提高数据转发效率。仿真实验表明,与现有的几种算法相比,混合转发机制有更高的数据传输成功率和更小的延迟。
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| 关 键 词： | 人类移动模式 机会网络 混合转发 策略 多因素集 |
| 收稿时间： | 2012/6/15 0:00:00 |
| 修稿时间： | 2012/6/15 0:00:00 |
A Data Hybrid Forward Mechanism Joint Individual Movement Law in Opportunistic Networks |
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| yu gui lan.A Data Hybrid Forward Mechanism Joint Individual Movement Law in Opportunistic Networks[J].Science Technology and Engineering,2012,12(29):7630-7634. |
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| Authors: | yu gui lan |
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| Institution: | YU Gui-lan(College of Computer and Electronic Information,Guangdong University of Petrochemical Technology,Maoming 525000,P.R.China) |
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| Abstract: | To better solve the problem of data forwarding in opportunistic networks, the author proposed a Hybrid Forward Mechanism(HFM), based on the analysis of the influence of human movement patterns for opportunistic networks. In order to improve efficiency HFM choose form relay nodes using a multi-factor set, utilize different data forwarding strategy according to the node move status. Simulation results show that compared with the existing algorithm, HFM has a higher success rate of data transmission and a smaller delay. |
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| Keywords: | Human movement patterns Opportunistic networks Hybrid forward Strategy Multi-factor set |
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