Calibration model of the output characteristic for sensor nodes based on CMAC neural network

Using the characteristic of nonlinear function approach of CMAC neural network in cluster node, a novel model of comprehensive calibration, which aiming to improve the static state output characteristic of sensor nodes, was presented. Correction model of sensor nodes and comprehensive calibration model of cluster node were set up. The arithmetic is demonstrated, according to the simulation results, to be effective and efficient, and this model has advantage no matter what in accuracy, robustness and absolute error. CMAC offered a better system function and a higher static state output characteristic, as well as an easier hardware realization. Additionally, the model is suitable to transplant and expand in different wireless intelligent monitoring in limited resource.