#omparison of a #onvolution and a &uzzy ,ogic Based #!#

!BSTRACT 4WO APPROACHES TO #ONNECTION !DMISSION #ONTROL #!# IN !4NETWORKS ARE PRESENTED AND THEIR RELATIVE PERFORMANCES ARE ASSESSED 4HE TWO #!# METHODS ARE RESPECTIVELY THE ENHANCED CONVOLUTION APPROACH %#! AN OPTIMISED ALGORITHM BASED ON THE DETERMINISTIC CONVOLUTION METHOD AND THE &UZZY #!# &#!# APPROACH A HEURISTIC METHOD BASED ON A COMBINATION OF FUZZY LOGIC AND GENETIC ALGORITHMS 5SING HOMOGENEOUS AND HETEROGENEOUS 6"2 TRAFFIC SCENARIOS THE CELL LOSS PREDICTIONS OBTAINED FOR EACH APPROACH ARE COMPARED WITH EACH OTHER AND WITH CELL LOSS RESULTS OBTAINED FROM ACTUAL MEASUREMENTS ON AN !4TEST BED /VERALL THE CELL LOSS FIGURES FOR THE DETERMINISTIC METHOD ARE GENERALLY HIGHER THAN THE CELL LOSSES MEASURED ON AN !4TEST BED THE CELL LOSS FIGURES FOR THE HEURISTIC METHOD ARE GENERALLY LOWER THAN THE DETERMINISTIC METHOD PREDICTIONS &ROM THESE RESULTS SOME COMMENTS ON THE LIMITATIONS OF BOTH #!# APPROACHES CAN BE MADE REGARDING THE OPTIMISATION OF THE USE OF !4LINKS 4HE INFLUENCE OF THE ADOPTED SOURCE CHARACTERISATION MODEL ON THE PRESENTED RESULTS IS ALSO DISCUSSED