Ant-net: An Adaptive Routing Algorithm

TL;DR

This paper presents Ant-Net, an adaptive routing algorithm inspired by ant colony optimization, which improves network performance by dynamically balancing load and reducing delay through pheromone-based path selection.

Contribution

It introduces the Ant-Net algorithm with detailed data structures and demonstrates its effectiveness through simulation on a packet switch network.

Findings

Ant-Net adapts to network conditions in real-time.

Simulation results show improved routing efficiency.

The algorithm effectively balances load and reduces delay.

Abstract

With the increasing demand and complexity of networks, factors such as balancing the load, improving the performance, reducing delay and finding optimal path between nodes in a computer network have become crucial. The traditional routing approaches are not able to perform up to the mark as they do not take into account factors such as reducing delay and adaptive nature. Thus there is a need for more sophisticated techniques to meet the current network problems. This paper focuses on Ant-net algorithm based on Ant colony optimization which is an adaptive routing algorithm.In this approach, models of collective intelligence are transformed into optimization techniques. The ants travel across various paths in the network, thus depositing of pheromone, collecting route information and congestion. In this paper the Ant-Net algorithm along the important data structures required has been discussed and it is implemented on a simple packet switch network. The simulations describe the adaptive nature of the algorithm