Title
Exploiting parallel networks using dynamic channel scheduling
Abstract
Many researchers have been focusing on the outcomes and consequences of the rapid increase and proliferation of mobile wireless technologies. If it is not already the case, it will soon be rare for a user to be in a situation where absolutely no network connection exists. In fact, through numerous devices, users will soon expect to be connected in all places at all times. Through the great variety and increase in the capabilities of these devices, it is not a surprise to find a single user with many connection opportunities. As a result, we believe that the next major evolution of wireless mobile networks will be in the exploitation of multiple network connections in parallel. Due to network heterogeneity, the major challenge in such situations is to determine the way that these networks can be utilized to better serve different network applications. In this work, we propose a dynamic channel scheduling mechanism that adapts to the state of the available channels to provide more efficient usage of network connectivity. We do so by observing channel throughput, creating a set of channel usage combinations, and then choosing the most efficient combination. We evaluate an implementation of the proposed mechanism using emulation. Our results show that under realistic conditions our dynamic approach greatly improves cost delay metrics, and the overall user-perceived performance compared to a more static approach.
Year
Venue
Keywords
2008
WICON
network heterogeneity,channel usage combination,channel throughput,dynamic channel scheduling mechanism,multiple network connection,network connection,different network application,network connectivity,available channel,wireless mobile network,parallel network,mobile network,computer science
Field
DocType
Citations 
Wireless network,Wireless,Computer science,Computer network,Communication channel,Network simulation,Wireless WAN,Emulation,Throughput,Radio access network,Distributed computing
Conference
1
PageRank 
References 
Authors
0.36
18
4
Name
Order
Citations
PageRank
Lara B. Deek1783.85
Kevin C. Almeroth22551209.40
Mike P. Wittie316415.71
Khaled A. Harras466849.89