电信科学 ›› 2019, Vol. 35 ›› Issue (2): 27-34.doi: 10.11959/j.issn.1000-0801.2019028

• 研究与开发 • 上一篇    下一篇

一种基于SDN的物联网数据聚合方案

王博伟,谭劲,蒋文斌   

  1. 中国计量大学信息工程学院,浙江 杭州 310018
  • 修回日期:2019-01-22 出版日期:2019-02-01 发布日期:2019-02-23
  • 作者简介:王博伟(1994- ),男,中国计量大学信息工程学院硕士生,主要研究方向为物联网、无线传感网。|谭劲(1962- ),男,博士后,中国计量大学信息工程学院副教授,主要研究方向为无线网络与通信、多媒体技术。|蒋文斌(1997- ),男,中国计量大学信息工程学院硕士生,主要研究方向为无线体域网、无线传感网。
  • 基金资助:
    浙江省自然科学基金资助项目(LY16F020013)

Data aggregation scheme based on SDN for internet of things

Bowei WANG,Jin TAN,Wenbin JIANG   

  1. College of Information Engineering,China Jiliang University,Hangzhou 310018,China
  • Revised:2019-01-22 Online:2019-02-01 Published:2019-02-23
  • Supported by:
    The Natural Science Foundation of Zhejiang Province of China(LY16F020013)

摘要:

物联网设备产生和发送的数据中存在许多重复冗余的部分,传输这些数据降低了网络寿命和带宽。针对这个问题提出了聚合网关层,设计了一种基于SDN的物联网数据聚合体系结构和算法。仿真分析表明,设计的体系结构与普通网关和OF-GW的体系结构相比,网络寿命提高了约32.6%,感知层发送到网络层中的数据分组量减少了6.1%~55.1%,设计的规则算法与LEACH算法相比,数据聚合的平均时延降低了约24.1%,同时避免了数据缺失,提高了数据聚合的准确性。

关键词: 物联网, SDN, 数据聚合, 体系结构, LEACH, 灰色预测模型

Abstract:

There are many redundant parts in the data generated and transmitted by IoT devices.Transmitting this data reduces network lifetime and bandwidth.Aiming at the problem,the aggregation gateway layer was proposed,and a SDN-based IoT data aggregation architecture and algorithm were designed.The simulation analysis shows that compared with the architecture of the ordinary gateway and OF-GW,the network lifetime is improved by about 32.6%,and the amount of data packets sent by the sensing layer to the network layer is reduced by 6.1% to 55.1%.Compared with the LEACH algorithm,the designed rule algorithm reduces the average delay of data aggregation by about 24.1%,while avoiding data loss and improving the accuracy of data aggregation.

Key words: internet of things, SDN, data aggregation, architecture, LEACH, grey prediction model

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