A Link Quality Estimation Method for WSNs Based on Extreme Learning Machine

作者：Liu Lin Lan; Xu Jiang Bo; Chen Yu Bin; Shu Jian

来源：Journal of Beijing University of Posts and Telecommunications, 2018, 41(1): 134-138.

DOI：10.13190/j.jbupt.2017-185

• Coefficient of variation
• Estimation methods
• Evaluation index
• Extreme learning machine
• Link quality estimations
• Link quality model
• Particle swarm optimization algorithm
• Support vector classification

An approach of estimating link quality was proposed which is based on extreme learning machine. The index of link asymmetry, the coefficient of variation of signal to noise ratio and mean signal to noise ratio are chosen as link quality parameters. Link quality level is classified by link packet receive rate which is the evaluation index. Particle swarm optimization algorithm is employed to optimize input weights and offset parameter, so that link quality model is built. In different scenarios, compared with the support vector classification machine estimate methods, the experimental results show that the proposed estimation method achieves better precision.

• 出版日期2018
• 单位南昌航空大学