Abstract
In this paper we explore delay based congestion and flow
control and off-loading of real-time traffic from
Wireless Local Area Networks (WLANs) to cellular networks
in multi-homed devices. The developed controller is based
on an embedded fuzzy expert system. It adjusts
transceivers' traffic flow(s) for prevailing network
conditions to achieve maximum throughput in required
application dependent delay limits. In wireless networks
delay and throughput are dependent on the packet size,
packet transmission interval, and the node connection
density. Therefore, the controller on the destination
node monitors average one-way delay and a change of
one-way delay of the incoming traffic. Thereafter it
adjusts packet size and transmission interval of the
source node by transmitting a control command to the
source. If the prevailing level of traffic in networks
exceeds its capacity despite of the control actions,
devices prepare to do asynchronous traffic off-loading to
another access network. The control model was validated
by simulating User Datagram Protocol (UDP) traffic in
OMNeT++ network simulator.
Original language | English |
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Title of host publication | International Conference on Information Networking, ICOIN 2013 |
Publisher | IEEE Institute of Electrical and Electronic Engineers |
Pages | 113-118 |
ISBN (Electronic) | 978-1-4673-5742-5 |
ISBN (Print) | 978-1-4673-5740-1 |
DOIs | |
Publication status | Published - 2013 |
MoE publication type | A4 Article in a conference publication |
Event | 27th International Conference on Information Networking, ICOIN 2013 - Bangkok, Thailand Duration: 27 Jan 2013 → 30 Jan 2013 |
Conference
Conference | 27th International Conference on Information Networking, ICOIN 2013 |
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Abbreviated title | ICOIN 2013 |
Country/Territory | Thailand |
City | Bangkok |
Period | 27/01/13 → 30/01/13 |
Keywords
- congestion control
- flow control
- off-loading