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AntHocNet: An Adaptive Nature-Inspired Algorithm for Routing in Mobile Ad Hoc Networks

Overview 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.

Further White Paper Details
Publisher	IDSIA	File Format	PDF
Date Published	September 2004	Downloads	1
Format	White Papers
Topics	Switching, Software Engineering, Mobile - Wireless Communications

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