Wireless Sensor Network Multi-Hop Positioning Algorithm Based on Continuous Regression

International Journal of Online Engineering

Shijun Li³  Weidong Li¹  Weimin Han² 

[1]Powerchina Zhongnan Engineering Co.LtdPowerchina Zhongnan Engineering Co.LtdPowerchina Zhongnan Engineering Co.Ltd

[2]Hunan Vocational Institute of TechnologyHunan Vocational Institute of TechnologyHunan Vocational Institute of Technology

[3]College of Electrical & Information Engineering

[4] Hunan Institute of Engineering

[5] Hunan Provincial Key Laboratory of Wind Generator and Its Control

[6] Hunan province Cooperative Innovation Center for Wind Power Equipment and Energy ConversionCollege of Electrical & Information Engineering

[7] Hunan Institute of Engineering

[8] Hunan Provincial Key Laboratory of Wind Generator and Its Control

[9] Hunan province Cooperative Innovation Center for Wind Power Equipment and Energy ConversionCollege of Electrical & Information Engineering

[10] Hunan Institute of Engineering

[11] Hunan Provincial Key Laboratory of Wind Generator and Its Control

[12] Hunan province Cooperative Innovation Center for Wind Power Equipment and Energy Conversion

关键词: wireless sensor network;    multi-hop positioning algorithm;    continuous regression;    ML-CR node;   

DOI  :  

学科分类：社会科学、人文和艺术（综合）

来源: International Association of Online Engineering

【 摘 要 】

The traditional multi-hop positioning algorithm is easily affected by the network anisotropy, thus resulting in unstable positioning performance. The wireless sensor network multi-hop positioning algorithm based on continuous regression is put forwarded in the paper to address this problem. By utilizing the continuous regression model, the mapping relationship between the hop count and Euclidean distance is constructed so as to transform the positioning process model into regression prediction. Theoretical analysis and simulation results show that the improved algorithm improves the positioning accuracy, and avoids the influence of the network topology anisotropy on the performance of the algorithm. The algorithm requires little expenditure and few parameters so it can be adapted to wireless sensor networks with irregular nodes distribution, and can be of great engineering application value.

【 授权许可】

Unknown