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arXiv 1610.04586cs.NI
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蚂蚁网:一种自适应路由算法

Ant-net: An Adaptive Routing Algorithm

Chandana M, Sanjeev Thakur

摘要:

随着网络需求的增加和复杂性的提高,在计算机网络中如何平衡负载、提高性能、降低时延、寻找节点间的最优路径等问题变得至关重要。传统的路由方法不能执行标记,因为它们没有考虑到因素,如减少延迟和自适应性。因此,需要更复杂的技术来解决当前的网络问题。本文重点研究了一种自适应路由算法--基于蚁群优化的蚁网算法,该算法将集体智能模型转化为优化技术。蚂蚁在网络中通过不同的路径,从而沉积信息素,收集路由信息和拥塞。在本文中,蚂蚁网络算法沿所需的重要数据结构进行了讨论,并实现了一个简单的分组交换网络。仿真结果说明了该算法的自适应性

英文摘要:

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

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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