Paper Info
Title
Enhancing UPnP Quality of Service by Intelligent Access Point
Abstract
With the process of wireless local area networks (WLANs), the concept of digital home gradually plays an important role nowadays. For this reason, a standard called UPnP, one of the future trends, is proposed. UPnP provides many important functions, for example, active detection, zero-configuration, etc. The problems about the distribution of total bandwidth and QoS become more complicated since multiple services (e.g., Ftp, Streaming, VoIP) activate simultaneously. Under the architecture of UPnP QoS, we enhance and apply it to Intelligent Access Point (IAP) to redefine a new UPnP QoS architecture in our paper, and combine our UPnP QoS algorithm to proceed predation and distribution algorithm about the total bandwidth. In this paper, the IAP and users are permitted to do active detection and can adjust actively to get a better QoS. Finally, our simulation results reveal that the total bandwidth can be used in a more efficient way which means that out proposed scheme can always service more new coming users.
Year
DOI
Venue
2010
10.1109/IIHMSP.2010.108
IIH-MSP
Keywords
Field
DocType
distributed algorithms,enhancing upnp quality,important role,universal plug and play (upnp),upnp qos architecture,total bandwidth,new upnp qos architecture,important function,quality of service,digital home,upnp qos,wireless local area networks,better qos,universal plug and play,upnp qos algorithm,predation algorithm,distribution algorithm,new coming user,upnp quality of service,intelligent access point,active detection,wireless lan,zero-configuration,wireless local area network,bandwidth,media,distributed algorithm,simulation,servers
File Transfer Protocol,Computer science,Server,Universal Plug and Play,Quality of service,Computer network,Bandwidth (signal processing),Distributed algorithm,Local area network,Voice over IP
Conference
ISBN
Citations 
PageRank 
978-0-7695-4222-5
0
0.34
References 
Authors
0
6
Name
Order
Citations
PageRank
Chia-Feng Kang100.34
Kai-Hua Kuo241.52
Ya-Chun Li332.50
Tin-Yu Wu417123.21
Wei-Tsong Lee517130.59
Jim-Min Lin622631.42