adaptive configuration of wpans and wlans communications using multi-scale statistical process control
Quality of communication in wireless systems is heavily dependent on several factors including interference on the radio signal and mobility of the communicating devices. However, it is very difficult to assess the transmitted signal and predict when a bad quality signal is being caused by interference or mobility. This work presents a new method for monitoring and analyzing wireless communications on two types of networks: IEEE 802.11 and Bluetooth. This technique uses a multi-scale control chart approach known as MCEWMA - Moving Centerline Exponential Weighted Moving Average - associated with multi-resolution analysis. The implementation of this control chart allows the description of the transmitted signal on each wireless channel with low cost and, more important, it can be used on on-line applications. To prove the efficiency of this method, a simple application was developed and tested and the results proved the efficiency of the proposed method.
bluetooth wifi adaptive middleware statistical control process