暂态社区感知的ICWN数据转发机制

杜剑; 夏元轶; 赵俊峰; 王峥; 王鹤

doi:10.11959/j.issn.1000-0801.2017262

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暂态社区感知的ICWN数据转发机制

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- 暂态社区感知的ICWN数据转发机制
- Transient community awared data forwarding mechanism for intermittent connected wireless network
- 电信科学 2017年33卷第11期页码：179-185
- 作者机构：
  
  1. 北京智芯微电子科技有限公司，北京 100192
  2. 国网江苏省电力公司信息通信分公司，江苏南京 210024
- 作者简介：
  
  [ "杜剑（1987-），男，北京智芯微电子科技有限公司中级工程师，主要研究方向为集成电路与传感芯片在电力中的应用。" ]
  [ "夏元轶（1988-），男，国网江苏省电力公司信息通信分公司专职，主要研究方向为电力信息化。" ]
  [ "赵俊峰（1974-），男，国网江苏省电力公司信息通信分公司主任，主要研究方向为电力信息化。" ]
  [ "王峥（1983-），男，博士，北京智芯微电子科技有限公司部门经理，主要研究方向为微电子与固体电子学。" ]
  [ "王鹤（1982-），男，北京智芯微电子科技有限公司中级工程师，主要研究方向为无线网络通信及无线传感网通信技术应用。" ]
- 基金信息：
  
  国家电网公司科技基金资助项目;Science and Technology Project of State Grid(526800150007)
- DOI：10.11959/j.issn.1000-0801.2017262
  中图分类号： TP393
- 网络出版日期：2017-11，
  
  纸质出版日期：2017-11-20
- 稿件说明：
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杜剑, 夏元轶, 赵俊峰, 等. 暂态社区感知的ICWN数据转发机制[J]. 电信科学, 2017,33(11):179-185.

Jian DU, Yuanyi XIA, Junfeng ZHAO, et al. Transient community awared data forwarding mechanism for intermittent connected wireless network[J]. Telecommunications science, 2017, 33(11): 179-185.
杜剑, 夏元轶, 赵俊峰, 等. 暂态社区感知的ICWN数据转发机制[J]. 电信科学, 2017,33(11):179-185. DOI： 10.11959/j.issn.1000-0801.2017262.

Jian DU, Yuanyi XIA, Junfeng ZHAO, et al. Transient community awared data forwarding mechanism for intermittent connected wireless network[J]. Telecommunications science, 2017, 33(11): 179-185. DOI： 10.11959/j.issn.1000-0801.2017262.

摘要

为了有效解决间断连接无线网络中的数据转发问题，提出了一种暂态社区感知的数据转发机制，运用半马尔可夫链模型描述节点在多个地理位置间的转移过程，预测节点在未来相遇的时间概率分布，确定节点相遇位置和时间，为下一跳中继节点的选择提供了理论依据。实验数值表明，与传统算法相比，所提机制能有效提高节点相遇预测的准确性，在数据成功投递率和传输时延等性能上都有较大的提升。

Abstract

In order to solve the problem of data forwarding in intermittent connected wireless network effectively

a transient community awared data forwarding mechanism for intermittent connected wireless network (ICWN) was proposed.Utilizing the semi-Markov chain model

the transfer process of nodes’s between multiple geographic locations was described and the time probability distribution of nodes’ encountering in the future was predicted

then the encountering time and locations could be obtained

which provided theoretical basis for the selection of next relay node.Experiment results show that the proposed mechanism can effectively improve the forecasting accuracy of nodes’ encounter and has a great improvement in the data delivery ratio and transmission delay.

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references

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