Data Collection Method for Mobile Control Sink Node in Wireless Sensor Network Based on Compressive Sensing
Hezhou University, School of Mechanical and Electronic Engineering, 542899 Hezhou, China
The paper proposes a mobile control sink node data collection method in the wireless sensor network based on compressive sensing. This method, with regular track, selects the optimal data collection points in the monitoring area via the disc method, calcu-lates the shortest path by using the quantum genetic algorithm, and hence determines the data collection route. Simulation results show that this method has higher network throughput and better energy efficiency, capable of collecting a huge amount of data with balanced energy consumption in the network.
Key words: Wireless Sensor Network / Compressive Sensing / Mobile Control Node / Quantum Genetic Algorithm
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