Abstract
On a mobile ad-hoc network environment, where the resources are scarce, the knowledge about the network's link state is essential to optimize the routing procedures. This paper presents a study about different pheromone evaluation models and how they react to possible changes in traffic rate. Observing how the pheromone value on a link changes, it could be possible to identify certain patterns which can indicate the path status. For this study, the behavior of the Ant System evaluation model was compared with a Temporal Active Pheromone model (a biological approach) and a Progressive Pheromone Reduction model with and without a maximum pheromone limit.
Original language | Unknown |
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Title of host publication | 2009 First International Conference on Emerging Network Intelligence |
Editors | M. Eltoweissy, N. Wakamiya, P. Lorenz, M. M. Freire |
Place of Publication | New York |
Publisher | IEEE |
Pages | 85-90 |
ISBN (Print) | 978-1-4244-5085-5 |
DOIs | |
Publication status | Published - 1 Jan 2009 |