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.
|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|
|Publication status||Published - 1 Jan 2009|