Prediction of Wireless Sensor Network Signal Attenuation in Plantation Environment
نویسنده
چکیده
Because wireless sensor network signal attenuation phenomenon exists in the process of transmission in plantation environment, mastering the law of 2.4GHz wireless sensor network signal attenuation in plantation environment has become a key to the rational distribution of wireless sensor networks in the forest. In this paper, an intelligent forecasting method using wavelet and regression analysis is presented to predict 2.4GHz wireless sensor network signal attenuation in plantation environment. By using wavelet decomposition on the average field strength values, the characteristics in the wavelet scale sequences can be recognized. And by using simple linear regression analysis, the decomposed data can be predicted. Then data after regression analysis can be used in wavelet reconstruction. Finally, the obtained results will be compared with the other average field strength values. The comparison shows that this wavelet and regression analysis method is effective to the prediction of 2.4GHz wireless sensor network signal attenuation.
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