Method for ascertaining a dynamic attribute of a system
First Claim
1. A method of ascertaining a dynamic attribute of a system comprising:
- selecting a variable, the value of which is related to the dynamic attribute to be ascertained;
ascertaining the standard deviation around the true mean of the variable;
choosing an allowable range for the true mean;
choosing a confidence interval;
calculating the number N1 of samples of the variable that need to be taken so that the confidence interval of the calculated variable is less than the allowable range;
setting a sliding window to collect N1 samples of the variable to calculate a short term average;
calculating the number N2 of samples of the variable that need to be taken to minimize the confidence interval of the calculated variable to a pre-determined amount;
collecting at least N2 samples of the variable to calculate a long term average;
calculating the absolute difference between the long term average and the short term average;
if the difference is greater than the allowable range, indicating that the dynamic system attribute has been positively identified;
if the difference is less than the allowable range, continuing to add to the number samples of the variable for the long term average and continuing to update the sliding window for the short term average.
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Abstract
The performance and ease of management of wireless communications environments is improved by a mechanism that enables access points (APs) to perform automatic channel selection. A wireless network can therefore include multiple APs, each of which will automatically choose a channel such that channel usage is optimized. Furthermore, APs can perform automatic power adjustment so that multiple APs can operate on the same channel while minimizing interference with each other. Wireless stations are load balanced across APs so that user bandwidth is optimized. A movement detection scheme provides seamless roaming of stations between APs.
37 Citations
3 Claims
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1. A method of ascertaining a dynamic attribute of a system comprising:
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selecting a variable, the value of which is related to the dynamic attribute to be ascertained;
ascertaining the standard deviation around the true mean of the variable;
choosing an allowable range for the true mean;
choosing a confidence interval;
calculating the number N1 of samples of the variable that need to be taken so that the confidence interval of the calculated variable is less than the allowable range;
setting a sliding window to collect N1 samples of the variable to calculate a short term average;
calculating the number N2 of samples of the variable that need to be taken to minimize the confidence interval of the calculated variable to a pre-determined amount;
collecting at least N2 samples of the variable to calculate a long term average;
calculating the absolute difference between the long term average and the short term average;
if the difference is greater than the allowable range, indicating that the dynamic system attribute has been positively identified;
if the difference is less than the allowable range, continuing to add to the number samples of the variable for the long term average and continuing to update the sliding window for the short term average. - View Dependent Claims (2, 3)
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Specification