基于无线传感网络精细农业系统盲检测

System Blind Detection of Precision Agriculture Based on WSN

针对精细农业网络的信息盲检测问题,在无线传感网络(Wireless Sensor Network,WSN)进行分簇处理的基础上,结合文献中面向精细农业的无线传感网簇内盲检测系统模型,给出了一种改进的量子蚁群优化-互相关算法(QACO-CA)。然后利用提出的QACO-CA算法对精细农业盲检测系统进行实验仿真。仿真表明:与传统蚁群盲均衡算法相比,改进的算法误码率明显降低,且在可接受的误码率范围内能恢复全部簇内传感器节点数据。

In the light of the information blind detection of precision agriculture, based on clustering for processing in the （ Wireless Sensor Network, WSN）, and according to the intra-cluster blind detection system model proposed by predecessor in WSN for precision agriculture, a new algorithm named Quantum Ant Colony Optimization-Cross-correlation algorithm（QACO-CA） is proposed for this system model. Then, the blind detection system of the precision agriculture is simulated by using proposed QACO-CA algorithm. Simulation experiments demonstrate that compared with the traditional ant colony algorithm, the improved algorithm significantly lowers bit error ratio and recovers all the intra-cluster sensors＇signals in the acceptable scope of bit error ratio.