计算机科学 ›› 2014, Vol. 41 ›› Issue (12): 91-94.doi: 10.11896/j.issn.1002-137X.2014.12.020

• 网络与通信 • 上一篇    下一篇

基于幂函数曲线和网络编码的多媒体传感网大数据可靠传输控制

于红,朱丽莉   

  1. 长春工业大学信息传播工程学院 长春130012;长春工业大学信息传播工程学院 长春130012
  • 出版日期:2018-11-14 发布日期:2018-11-14
  • 基金资助:
    本文受吉林省自然科学基金项目(yh2011022)资助

Big Data Reliable Transmission Control Mechanism Based on Power Function Curve and Netwrok Coding for Wireless Multimedia Sensor Networks

YU Hong and ZHU Li-li   

  • Online:2018-11-14 Published:2018-11-14

摘要: 提出了一种适用于无线多媒体传感器网络的基于幂函数回归曲线预测和随机线性网络编码的协同合作大数据可靠传输控制机制,以为多媒体大数据传输提供高可靠性、资源利用率和服务质量的保障。首先根据多媒体数据特征和动态网络拓扑,提出一种基于幂函数回归曲线的预测模型;然后在网络层和物理层以视频帧为单位进行网络编码;最后建立一种基于预测和网络编码的协同合作大数据可靠传输控制机制。通过数学分析和仿真验证,分析了所提机制与传统机制的系统性能,证明了所提机制的优越性能。

关键词: 无线多媒体传感器网络,幂函数曲线,大数据,可靠性

Abstract: This paper proposed a reliable transmission control mechanism based on the large data collaborative forecasting power function regression curves and random linear network coding to provide high reliability,resource utilization and quality of service for multimedia data transmission,which is suitable for wireless multimedia sensor networks.Firstly,according to the data characteristics and dynamic multimedia network topology,a prediction model was presented based on the power function regression curve.Then the video frames were used as a unit for network coding at the network layer and the physical layer.Finally a collaborative network-based prediction and coding big reliable data transmission control mechanisms were established.Through mathematical analysis and simulation,the proposed mechanism was evaluated by analysis of system performance with the traditional mechanisms.The conclusion proves the superiority of the proposed mechanism.

Key words: Wireless multimedia sensor networks,Power function curve,Big data,Reliability

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