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Resource Optimization and Quality of Service in Wireless Networks
Adaptive EDCA - Dynamically Adapting EDCA Parameters Based
On Network Conditions
From February 2006 to September 2006, I worked at
Computing Science department,
Umeå University, as research assistant. My work included writing programs for implementing and simulating wireless networks protocols mainly using C language (in GloMoSim) and MATLAB. It mainly included developing algorithms and implementing 802.11e AP (Access Point) functionality in GloMoSim. The focus primarily was on resource optimization in WLAN networks, mainly IEEE 802.11/e. The work was done under the supervision of Thomas Nilsson and Jerry Eriksson.
The work was the extension of my earlier work of development of simulation module of WLAN 802.11e EDCA
for the GloMoSim
network simulator. The work was continued on the enhancement of the 802.11e
EDCA enabling it to dynamically adapt EDCA parameters based on varying
network conditions and the evaluation of the performance improvements. An
algorithm was devised and implemented at the AP which enables it to dynamically adapt the parameter values. The decision criterion used by the algorithm is the accumulated system throughput. Under this algorithm, the AP continuously monitors the system throughput, it records throughput at specific intervals, compares the current system throughput to the previous one and controls the parameter values depending on whether the throughput is decreased or increased.
Various approaches were tested to adapt the EDCA parameter values until the most efficient algorithm was reached on. The final algorithm delivered very promising results with remarkable improvements in the overall network performance. The paper based on the work, titled A Novel MAC Scheme for Solving the QoS Parameter Adjustment Problem in IEEE 802.11e EDCA, has been published in WoWMoM 2008 (IEEE International Symposium on a World of Wireless Mobile and Multimedia Networks). It can be downloaded here.
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