计算机与现代化 ›› 2010, Vol. 1 ›› Issue (01): 63-65,6.doi: 10.3969/j.issn.1006-2475.2010.01.018
• 网络与通信 • 上一篇 下一篇
张涛涛,吴俊林,张岩
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ZHANG Tao-tao,WU Jun-lin，ZHANG Yan
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摘要： 提出一种基于Hopfield神经网络模型的传感器网络的分布式广播算法。在已有网络拓扑的基础上对其数据获取方式进行改进。用优化的Hopfield神经网络模型在各簇中分别从广播源点开始遍历所有传感节点，并返回广播源点的最优链路。利用Hopfield神经网络收敛速率快、通信路径最优,且易于硬件电路实现的特点，形成了能量消耗较少、延时较小的WSN网络，它是一种能量高效的网络。
关键词: 传感器网络, 簇, Hopfield神经网络, 广播与数据获取
Abstract: This paper proposes a distributed broadcasting algorithm based on optimized Hopfield neural network for sensor networks. The basic idea is as follow: it parts cluster according to the reference, then optimized the Hopfield Neural Network is used to find the optimal route starting from the broadcasting source node and traversal each node in the network, then return the source node. The data broadcasting and gathering can be achieved by the positive feedback of the Hopfield neural network. The simulation results show that the algorithm is high efficient and scalable than other two classic algorithms.
Key words: sensor networks, cluster, Hopfield neural network, broadcasting and data gathering
中图分类号:
TP393
张涛涛;吴俊林;张岩. 基于Hopfield神经网络的WSN分布式拓扑[J]. 计算机与现代化, 2010, 1(01): 63-65,6.
ZHANG Tao-tao;WU Jun-lin;ZHANG Yan. Distributed Broadcasting Algorithm Based on Hopfield Neural Network [J]. Computer and Modernization, 2010, 1(01): 63-65,6.
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链接本文: http://www.c-a-m.org.cn/CN/10.3969/j.issn.1006-2475.2010.01.018
http://www.c-a-m.org.cn/CN/Y2010/V1/I01/63
