Paper Info
Title
Nature-Inspired Congestion Control: Using a Realistic Predator-Prey Model
Abstract
Nature has been a continuous source of inspiration for many successful techniques, algorithms and computational metaphors. We outline such a inspiration here, in the context of bio-inspired congestion control (BICC) algorithms. In this paper a realistic predator-prey model is mapped to the Internet congestion control mechanism. This mapping leads to a bio-inspired congestion control scheme. Dynamic and equilibrium properties of developed algorithm are good enough according to the simulation results.
Year
DOI
Venue
2007
10.1007/978-3-540-73053-8_42
IWINAC (1)
Keywords
Field
DocType
developed algorithm,internet congestion control mechanism,bio-inspired congestion control,realistic predator-prey model,equilibrium property,continuous source,computational metaphor,simulation result,bio-inspired congestion control scheme,nature-inspired congestion control,successful technique,congestion control
Slow-start,Telecommunications network,Computer science,Network congestion,Artificial intelligence,The Internet
Conference
Volume
ISSN
Citations 
4527
0302-9743
3
PageRank 
References 
Authors
0.44
13
2
Name
Order
Citations
PageRank
Morteza Analoui112424.94
Shahram Jamali28010.42