Paper Info
Title
Predicting location-dependent qos for wireless networks
Abstract
In wireless networks the quality of service (QoS) delivered to an end user will be a complex function of location and time. “QoS Seeker” is a new system which informs a user what location in the wireless network he should move to in order deliver the required QoS for his real-time applications. At the heart of QoS Seeker is a construct known as a “QoS Map” – which is the value of a specific QoS metric as a function of space.If any significant temporal trends are present in the wireless network, then the current QoS Map will be statistically different from a future QoS Map. In this report we investigate the use of adaptive linear filters as a means to predict future QoS Maps from historical QoS Maps. By using the received signal strength (RSS) as the QoS metric, we show that local adaptive filters can deliver very significant performance gains relative to last-measure and moving-average predictors. We also show how global adaptive filters can produce performance gains, albeit at a lower level. These results show that adaptive prediction techniques have a significant role to play in the QoS Map construction.
Year
DOI
Venue
2005
10.1007/11426646_30
LoCA
Keywords
Field
DocType
location-dependent qos,qos map construction,adaptive linear filter,wireless network,current qos map,qos map,required qos,historical qos maps,future qos maps,qos seeker,future qos map,adaptive filter,linear filtering,moving average,quality of service
Mobile QoS,Wireless network,Linear filter,Service quality,Computer science,Quality of service,Computer network,Artificial intelligence,Adaptive filter,Ubiquitous computing,RSS,Distributed computing
Conference
Volume
ISSN
ISBN
3479
0302-9743
3-540-25896-5
Citations 
PageRank 
References 
1
0.39
3
Authors
4
Name
Order
Citations
PageRank
Robert A. Malaney140137.72
Ernesto Exposito216827.86
Xun Wei391.99
Dao Trong Nghia410.39