Title
Estimation of the number of competing stations applied with central difference filter for an IEEE 802.11 network
Abstract
The ubiquitous computing environments requires integration of a variety of current and future wired and wireless networking technologies to support seamless computing and communication environments for user applications. WLAN also need to be a part of a seamless communication infrastructure, as they can be used either as a wireless extension of wired networks or peer-to-peer networks. This paper proposes a new methodology to estimate the number of competing stations in an IEEE 802.11 network. Due to nonlinear nature of measurement model, an iterative nonlinear filtering algorithm, called the “Central Difference Filter” (CDF), is employed. The CDF can provide a better alternative to nonlinear filtering than the conventional extended Kalman filter (EKF) since it avoids errors associated with linearization. This approach shows both high accuracy as well as prompt reactivity to changes in the network occupancy status. Specially, our proposed algorithm is more improved performance in non saturated conditions than the EKF. Numerical results show that it provides a more viable means for estimation of the number of competing stations in IEEE 802.11 network than estimators based on the EKF.
Year
DOI
Venue
2006
10.1007/11890348_24
UCS
Keywords
Field
DocType
central difference filter,seamless computing,peer-to-peer network,wireless networking technology,wireless extension,ubiquitous computing environment,seamless communication infrastructure,iterative nonlinear,proposed algorithm,network occupancy status,communication environment,nonlinear filter,extended kalman filter,wireless network
Mobile computing,Wireless network,Extended Kalman filter,IEEE 802.11,Wireless,Computer science,Iterative method,Simulation,Real-time computing,Distributed coordination function,Ubiquitous computing,Distributed computing
Conference
Volume
ISSN
ISBN
4239
0302-9743
3-540-46287-2
Citations 
PageRank 
References 
3
0.46
6
Authors
4
Name
Order
Citations
PageRank
Jang-Sub Kim113313.04
Ho-jin Shin2338.49
Dong-Ryeol Shin312427.03
Woogon Chung431.81