计算机应用 ›› 2013, Vol. 33 ›› Issue (04): 935-938.DOI: 10.3724/SP.J.1087.2013.00935

• 网络与通信 • 上一篇    下一篇

基于二次规划的无线传感器网络数据恢复算法

吴桂峰1,王轩2   

  1. 1. 扬州大学 能源与动力工程学院,江苏 扬州 225127
    2. 扬州北辰电气设备有限公司,江苏 扬州 225127
  • 收稿日期:2012-10-10 修回日期:2012-11-26 出版日期:2013-04-01 发布日期:2013-04-23
  • 通讯作者: 吴桂峰
  • 作者简介:吴桂峰(1969-),男,江苏海安人,讲师,硕士,主要研究方向:测控技术、电力系统自动化;王轩(1974-),男,江苏扬州人,高级工程师,主要研究方向:配电网自动化。
  • 基金资助:

    江苏省科技支撑计划项目(BE2011133)

Wireless sensor networks data recovery algorithm based on quadratic programming

WU Guifeng1,YU Xuan2   

  1. 1. College of Energy and Power Engineering, Yangzhou University, Yangzhou Jiangsu 225127, China
    2. Yangzhou Beichen Electrical Equipment Company Limited, Yangzhou Jiangsu 225127, China
  • Received:2012-10-10 Revised:2012-11-26 Online:2013-04-01 Published:2013-04-23
  • Contact: WU Guifeng

摘要: 为提高无线传感器网络数据压缩感知中恢复算法的实时性,提出一种基于二次规划的无线传感器网络数据恢复算法。该算法将压缩感知重构中的欠定线性方程组求解转化为有界约束二次规划问题,在此基础上结合阿米霍步长准则对二次规划进行求解,从而对网络数据进行恢复。理论分析和仿真结果表明,所提算法可准确恢复网络数据,并且相比传统压缩感知恢复算法,可明显降低数据恢复的计算复杂度,有效提高网络数据恢复算法的实时性。

关键词: 无线传感器网络, 压缩感知, 二次规划, 数据恢复, 实时性

Abstract: For improving the real-time performance of recovery algorithm in Compressed Sensing (CS) of Wireless Sensor Networks (WSN) data, a quadratic programming based network data recovery algorithm was proposed in this paper. The CS recovery was transformed to bound-constrained quadratic programming, and then the network data was recovered by solving the quadratic programming problem based on the Armijo rule. The analysis and experimental results demonstrate that the proposed algorithm can significantly reduce the complexity and ensure the accuracy of recovery, thus improving the real-time performance of data recovery in WSN.

Key words: Wireless Sensor Network (WSN), Compressed Sensing (CS), quadratic programming, data recovery, real-time performance

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