| Publisher | IDSIA | ||
|---|---|---|---|
| Format | 215.0KB PDF | Date added | 01 Sep 2004 |
| Topics | Switching, Software Engineering, Mobile - Wireless Communications | ||
| Downloads | 97 | ||
This paper describes 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, the paper compares AntHocNet with AODV, a reference algorithm in this research area. The paper shows that the 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.
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