Data Collection of Wireless Sensor Network with Grid Structure Based on Compressed Sensing

The key issue in studying data collection in wireless sensor networks is how to reduce the amount of data transmitted by the sensor nodes, thus making the overall energy consumption of the network reduced and the survival period extended. In this paper, a data collection method based on compressed sensing for wireless sensor networks with grid structure is proposed. The method is designed with the overall energy consumption and overall transmission delay of the network in mind. First, for the case that sensor nodes are uniformly distributed in the detection area, the overall energy consumption and overall transmission delay of the network after applying compressive sensing are calculated to obtain the optimal number of grids. Secondly, this paper proposes a routing algorithm to make the subtree of sink balanced, and applies it to data collection, which can achieve the effect of reducing the overall transmission delay and balancing the overall energy consumption of the network. Finally, simulation experiments are designed to verify the method. The results of simulation experiments show that the proposed method can reduce the network energy consumption and extend the network lifetime in the applied scenarios.