A new qos routing optimal algorithm in mobile ad hoc networks based on hopfield neural network

Authors:
Jian Liu;Dongfeng Yuan;Song Ci;Yingji Zhong
Affiliations:
School of Information Science and Engineering, Shandong University, Jinan, Shandong, China;School of Information Science and Engineering, Shandong University, Jinan, Shandong, China;Computer Science, University of Michigan-Flint, Flint, MI;School of Information Science and Engineering, Shandong University, Jinan, Shandong, China
Venue:
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part III
Year:
2005

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Abstract

This paper presents a new model based on Hopfield neural network (HNN) that solves the optimum routing problem for supporting QoS in Ad hoc networks. The model is based on the minimum cost under delay constraints in ad hoc network in order that the neural network could be robust to the changed of the network topology. Under this assumption the general principles involved in the design of the proposed neural network and the method regarding the relationships of different coefficients in the energy function are discussed. The computational power of the proposed neural model is demonstrated through computer simulations. Simulation results indicate that our proposed scheme is very effective and outperforms previous schemes.