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无线传感器网络在井下的应用提高了煤矿生产自动化和安全性。由于井下的空间、环境等条件的限制,为了能进一步提高对井下人员和设备的准确定位,即对无线传感器网络中节点的准确定位。现提出在CC2430上采用实现简单的RSSI定位方法,并结合神经网络优化的节点定位算法。通过MATLAB实验仿真结果表明,此方法提高了井下无线传感器网络节点定位的精度。
The application of wireless sensor network in underground mine has improved the automation and safety of coal mine production. Due to the limitation of downhole space and environment, in order to further improve the accurate positioning of downhole personnel and equipment, that is, the accurate positioning of nodes in wireless sensor networks. Now proposed in the CC2430 to achieve a simple RSSI positioning method, combined with neural network optimization node positioning algorithm. The results of MATLAB simulation show that this method improves the accuracy of node positioning in WSN.