Computer and Modernization ›› 2010, Vol. 1 ›› Issue (01): 63-65,6.doi: 10.3969/j.issn.1006-2475.2010.01.018

• 网络与通信 • Previous Articles     Next Articles

Distributed Broadcasting Algorithm Based on Hopfield Neural Network

ZHANG Tao-tao,WU Jun-lin,ZHANG Yan   

  1. College of Physics & Information Technology, Shanxi Normal University, Xi’an 710062, China
  • Received:2009-06-15 Revised:1900-01-01 Online:2010-01-15 Published:2010-01-15

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

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