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AntHocNet: An adaptive nature-inspired algorithm for routing in mobile ad hoc networks (2005)
| Venue: | EUROPEAN TRANSACTIONS ON TELECOMMUNICATIONS |
| Citations: | 108 - 16 self |
BibTeX
@ARTICLE{Caro05anthocnet:an,
author = {Gianni Di Caro and Frederick Ducatelle and Luca Maria Gambardella},
title = {AntHocNet: An adaptive nature-inspired algorithm for routing in mobile ad hoc networks},
journal = {EUROPEAN TRANSACTIONS ON TELECOMMUNICATIONS},
year = {2005},
volume = {16},
pages = {443--455}
}
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Abstract
In this paper we describe AntHocNet, an algorithm for routing in mobile ad hoc networks. It is a hybrid algorithm, which combines reactive route setup with proactive route probing, maintenance and improvement. The algorithm is based on the Nature-inspired Ant Colony Optimization framework. Paths are learned by guided Monte Carlo sampling using ant-like agents communicating in a stigmergic way. In an extensive set of simulation experiments, we compare AntHocNet with AODV, a reference algorithm in this research area. We show that our algorithm can outperform AODV on different evaluation criteria. AntHocNet’s performance advantage is visible over a broad range of possible network scenarios, and increases for larger, sparser and more mobile networks. AntHocNet is also more scalable than AODV.
Keyphrases
mobile ad hoc network adaptive nature-inspired algorithm broad range research area ant-like agent stigmergic way different evaluation criterion extensive set nature-inspired ant colony optimization framework guided monte carlo proactive route probing reactive route setup hybrid algorithm anthocnet performance advantage simulation experiment mobile network possible network scenario reference algorithm
