Paper Info
Title
Adaptive configuration of wpans and wlans communications using multi-scale statistical process control
Abstract
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.
Year
DOI
Venue
2007
10.1145/1298126.1298151
MSWiM
Keywords
Field
DocType
control chart,transmitted signal,wlans communication,wireless communication,multi-scale control chart approach,wireless channel,bad quality signal,wireless system,adaptive configuration,new method,radio signal,multi-scale statistical process control,bluetooth,wifi,statistical process control
Fixed wireless,Wireless,Computer science,Computer network,Communication channel,Control chart,Interference (wave propagation),Statistical process control,Wi-Fi array,Bluetooth
Conference
Citations 
PageRank 
References 
2
0.37
6
Authors
3
Name
Order
Citations
PageRank
Ricardo A. R. Oliveira1259.52
Rainer Ronie Pereira220.37
Antonio Loureiro32406197.77