一种用于自组织网络的路由算法

E. Vicente, V.E. Mujica, D. Sisalem, R. Popescu-Zeletin
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引用次数: 10

摘要

本文研究了一种自组织路由协议——神经元路由算法(NEURAL)。NEURAL的设计考虑了大脑的学习和自组织能力。更准确地说,它的灵感来自于信号传播时神经元之间的突触过程。基本上,NEURAL最显著的特点是基于当前邻域的变化,在节点的位置周围均匀分布信息。采用2跳确认机制,监测本地信息,以便用于路由选择方法、分类程序和学习算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
NEURAL: a self-organizing routing algorithm for ad hoc networks
This paper evaluates a self-organizing routing protocol for ad hoc network, called the neuron routing algorithm (NEURAL). NEURAL has been designed taking into account the learning and self-organizing abilities of the brain. More precisely, it was inspired by the synapses process between neurons, when a signal is propagated. Basically, the most significant characteristic of NEURAL is the uniform distribution of the information around the node's location based on the current changes in its neighborhood. Using a 2-hop acknowledgment mechanism, local information is monitored in order to be used for route selection method, classification procedures and learning algorithms.
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