Interference identification and classification mechanism for wireless sensor network

Abstract

The interference identification and classification of wireless sensor networks are important problems to im-prove network performance.To solve such problems,methods for interference identification and classification were de-signed and implemented.The experimental transmission parameters of the sensor nodes were obtained in differ-ent interference state,and then the Logistic model was used to identify the state of interference and classify the type of the interference based on the parameters given.The actual network data tests show that the classification model in the identification accuracy can be achieved more than 97%,which can effectively address the problem of recognition of net-work interference.

Keywords

• wireless sensor network;interference identification;Logistic model;correlation analysis;classification