Name
Title | ||
|---|---|---|
Congestion Control in the Internet: Inspiration from Balanced Food Chains in the Nature |
Abstract | ||
|---|---|---|
Congestion in the Internet is the main reason for reduced performance and poor quality of service; therefore, a good congestion control system is essential. The current work proposes that the congestion control problem in the Internet can be inspired from natural population control tactics. Toward this idea, the congestion window size of each connection is viewed as population size of a species and then congestion control problem is redefined as population control of these windows species (W). This paper defines a three-trophic food chain and gives a model to control population size of W species within this food chain. Simulation results show that the proposed algorithm leads to a fair, stable and high-performance congestion control scheme. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1007/s10922-007-9093-6 | J. Network Syst. Manage. |
Keywords | Field | DocType |
congestion control,w species,natural population control tactic,good congestion control system,population size,windows species,congestion window size,congestion control problem,bio-inspired networkingcongestion controlpredator-prey � food chain,food chain,population control,high-performance congestion control scheme,balanced food chains,natural population,predator prey,quality of service | Congestion window,Computer science,Quality of service,Computer network,Population size,Network congestion,Population control,Food chain,The Internet,Distributed computing | Journal |
Volume | Issue | ISSN |
16 | 1 | 1573-7705 |
Citations | PageRank | References |
6 | 0.55 | 6 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Morteza Analoui | 1 | 124 | 24.94 |
| Shahram Jamali | 2 | 80 | 10.42 |