Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10339219 | Computer Networks | 2005 | 26 Pages |
Abstract
In this paper, we introduce an analytic modelling approach to the study of a novel class of adaptive network routing algorithm, which is inspired by the emergent problem-solving behaviours observed in biological ant colonies. This class of algorithm utilizes “ant-like” agents which traverse the network and collectively construct routing policies. Previous studies have focused exclusively on simulation experiments, which indicate that such algorithms perform well in response to real-time changes in traffic demands and network conditions. The analytic model presented in this paper permits useful insights into certain fundamental aspects of ant-based algorithms, which have not been discussed in previous ant-based routing literature. In particular, the work presented in this paper motivates our proposal of a number of modifications to the basic design of ant-based routing algorithms, which result in improved performance with respect to equilibrium performance measures.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Networks and Communications
Authors
Nigel Bean, Andre Costa,