Paper Info
Title
A Control Theoretic Strategy For Intelligent Interface Selection In Heterogeneous Network Environments
Abstract
With the diversity of wireless network accesses, new opportunities are offered to leverage network overload by wisely distributing traffic over the less congested networks. Following this observation, a number of studies have addressed the issue of the optimal interface selection to maximize the network performance. In order to address this problem, we propose, in this paper, a general model describing the interface selection process in heterogeneous network environments. The model is, then, used to derive a scalable controller, which can assist in steering dynamically the traffic to the most appropriate network access while blocking the residual traffic in a way to avoid the network congestion. In contrast with existing mechanisms, which generally rely on heuristic approaches, the proposed mechanism allows to compute network access probabilities based on linear optimal control theory. It also presents the advantage of a seamless integration with the Access Network Discovery and Selection Function (ANDSF). Simulation results sort out that the proposed scheme prevents the network congestion and demonstrates the effectiveness of the controller design, which can maximize the network resources' allocation by converging the network workload to the targeted network occupancy.
Year
Venue
Keywords
2016
2016 13TH IEEE ANNUAL CONSUMER COMMUNICATIONS & NETWORKING CONFERENCE (CCNC)
Network Interface Selection, Network congestion, ANDSF, Control Theory, Controller Design
Field
DocType
Citations 
Network formation,Network delay,Computer science,Network architecture,Network simulation,Computer network,Network traffic control,Network traffic simulation,Intelligent computer network,Network management station,Distributed computing
Conference
0
PageRank 
References 
Authors
0.34
4
4
Name
Order
Citations
PageRank
Yue Li161.53
Yassine Hadjadj Aoul215825.25
Philippe Bertin3649.44
Gerardo Rubino432.55