Unfortunately, Analytic models can not provide 100% accurate results because there are so many variables in indoor environment such as occupancy, moisture, temperature, building materials, furniture materials and so on. Each space has its own unique characteristic. So, what can we do? Empirical approach will provide the most accurate results. You can try two different RF meter to validate your data.
Delta State University, Abraka Oleh Campus, Delta State NIGERIA
We usually validate measurement results using residuals. Residuals are the difference between the values obtained from the measurements and other measurements carried out in different environments. Sometimes it may be necessary to gather repeated data in the same environment or conditions and use them as a basis for the comparison. Plots of the residuals usually give a graphic illustration of the consistency of the data. If the residuals alternate about the zero position (between positive and negative values about zero) then the measurements represents the initial measurement significantly. However a quantitative way to validate the model is to use the RMS errors observed by comparing the two measurement values. If a model was developed from the field measurements, the model can also be validated using the residuals obtained by subtracting the model generated values from the validation data values. RMS errors can also be used. F-test and t test can also provide additional means of checking the model performance.
The distribution of the delay is a very important measure to determine the performance of a WLAN. Indeed, real-time applications typically require that their packets reach their destination within a certain delay with a given probability, and to guarantee this it is necessary to perform the computation of the delay distribution. In this paper we de...