Architecture for redundant knowledge reduction in embedded fuzzy rule-based systems into wireless sensor network nodes
J.A. Fernández-Prieto, Joaquin Canada-Bago, Juan Carlos Cuevas-Martinez, M. A. Gadeo-Martos, Juan R. Velasco · 2010
Nowadays, growing interest exists in the integration of artificial intelligence technologies into Wireless Sensor Networks. However, little attention has been paid to integrate Fuzzy Rule-Based Systems in these networks. The objective of this work is to optimize the design of embedded Fuzzy Rule-Based Systems by means of redundant knowledge reduction considering the lack of accuracy. Results have shown that a right redundant knowledge reduction produces a great increase in time of battery discharge and a remarkable decrease in battery consumption.