A model for failure nodes in wireless sensors networks (WSN) for military polygon monitoring

Abstract

The present paper presents the results of research on modelling and experimental identification systems with random binary events of failure nodes of a WSN which is monitored in a military polygon. For systems with random binary events model parameters estimation, a Monte – Carlo algorithm was forwarded and tested, using the maximum logarithmic likelihood criterion. The space of model parameters, for the point corresponding to maximum log likelihood function associated to the set of experimental data. The present paper proposes and tests an original method, to delimitate the search area, with Monte – Carlo, for the solution to the issue of logistic fuzzy- model parameters estimation in WSN.