Abstract: In order to improve the localization effect of sensor nodes, aiming at the parameters optimization problem of support vector machine, we designed a sensor node localization model based on artificial bee colony algorithm optimizing support vector mathine. Firstly, relevant data of sensor nodes were collected, and the effective parameters were extracted. Secondly, support vector machine was used to establish sensor node localization model, and artificial bee colony algorithm was used to solve the parameter selection problem of support vector machine. Finally, sensor node localization experiment was implemented on MATLAB2014 platform. The experimental results show that the proposed model can reflect the position of current sensor nodes, and obtain the accurate positioning results of the sensor nodes.

Key words: parameter selection problem, sensor node, localization mechanism, characteristic parameter, artificial bee colony optimization algorithm