An Intelligent Functional Diagnostics of Wireless Sensor Network

An overview of the fault detection strategies, faults and failures related to Wireless Sensor Network (WSN) levels is provided. The recent research contributions to functional diagnostics of WSN were summarized. An adaptive neuro-fuzzy inference system ANFIS for intelligence diagnostics of WSN is proposed. The solution of the task of functional diagnostics is realized by the expert system with a knowledge base in the form of a neuron-fuzzy network. Neural-fuzzy network has been applied to the sensor nodes. Employing proposed techniques in WSN showed that ANFIS algorithm enables to improve the efficiency and accuracy of sensor node diagnosis.

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