A Data gathering algorithm based on compressive sensing in lossy wireless sensor networks

Abstract

In the lossy wireless sensor network (WSN), packets loss can severely degrade the performance of data gathering algorithm based on compressive sensing (CS). Due to the limited retransmission cannot ensure the high reliability of the wireless link, the CS data gathering algorithm based on retransmission and temporal sequence correlation prediction (CS-RTSC) is proposed in this paper. When packets loss occur in the process of data gathering, the limited retransmissions is the primary choice to recover the packets. If the recovery is not successful, the temporal sequence correlation prediction is adopted. Simulation results show that CS-RTSC algorithm can guarantee the normal implementation of the CS data gathering under the unreliable links compared to existing CS data gathering algorithm and the relative error of the data reconstruction under 30% packet loss ratio is only 0.1% higher than that under the ideal links.