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Neural network implementation of the shortest path algorithm for traffic routing in communication networks

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3 Author(s)
Thomopoulos, S.C.A. ; Dept. of Electr. & Comput. Eng., Pennsylvania State Univ., University Park, PA, USA ; Lei Zhang ; Wann, C.D.

A neural network computation algorithm is introduced to solve for the optimal traffic routing in a general N-node communication network. The algorithm chooses multilink paths for node-to-node traffic which minimize a certain cost function. Unlike the algorithm introduced earlier in this area, knowledge of the number of links between each origin-destination pair is not required by the algorithm, therefore it can be applied to variable-length path routing problems. The neural network structure for implementing the algorithm is a modified form of the one used by the traveling salesman algorithm. Computer simulation in a nine- and sixteen-node grid network showed that the algorithm performs extremely well in single and multiple paths

Published in:

Neural Networks, 1991. 1991 IEEE International Joint Conference on

Date of Conference:

18-21 Nov 1991