Target localization of mine wireless sensor network based on compressed sensing

Abstract

To solve the problems of low positioning accuracy, large deployment of reference nodes and large power consumption of nodes when wireless sensor network (WSN) positioning technology is applied in coal mine target positioning, this paper proposes a method of mine WSN target localization based on the compressed sensing(CS) algorithm. The method designs the target positioning in the offline phase and online monitoring phase based on the needs of mine target positioning and the characteristics of WSN. In the offline phase, the sparse matrix fingerprint database is constructed. In the online monitoring phase, the observation matrix and the measurement value vector are constructed, and combined with fingerprint database, the position signal of the target nodes is reconstructed to realize the accurate positioning of the mine targets. The simulation experiment compares the CS algorithm positioning with two traditional algorithm positioning. The results show that the positioning accuracy of the algorithm in this paper is higher, which can be controlled within 0.8m to meet the positioning requirement.

Keywords

• compressed sensing
• wireless sensor network
• target locating