Wireless sensor networks data recovery algorithm based on quadratic programming

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.