Models for pheromone evaluation in Ant Systems for Mobile Ad-hoc networks

Vitor José Almeida Sousa Lobo

doi:10.1109/EMERGING.2009.16

Models for pheromone evaluation in Ant Systems for Mobile Ad-hoc networks

Vitor José Almeida Sousa Lobo

NOVA Information Management School (NOVA IMS)

Research output: Chapter in Book/Report/Conference proceeding › Chapter

9 Citations (Scopus)

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
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	https://doi.org/10.1109/EMERGING.2009.16
Publication status	Published - 1 Jan 2009

Access to Document

10.1109/EMERGING.2009.16

Cite this

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title = "Models for pheromone evaluation in Ant Systems for Mobile Ad-hoc networks",

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.",

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N2 - 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.

AB - 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.

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