Stochastic chaotic simulated annealing using neural network for minimizing interference in mobile hierarchical ad hoc and sensor networks

Authors:
Jerzy Martyna
Affiliations:
Institute of Computer Science, Jagiellonian University, Cracow
Venue:
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part III
Year:
2010

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Abstract

In this paper, stochastic chaotic simulated annealing for minimizing interference in mobile ad hoc and sensor networks is studied. Following a general formulation of the channel assignment problem (CAP), the demand constraints for energy function of this problem are determined. The CAP problem for these networks was solved with the help of the neural network. Our simulation results indicate that by selecting a set of parameters we can obtain interference minimization in these networks. An extension of this technique allows us to use it in the dynamic CAP to solve more sophisticated optimization problems.