A large-scale multi-hop localization algorithm based on regularized extreme learning for wireless networks

HIGHLIGHTS

• who: Wei Zheng and colleagues from the School of Computer Engineering, Jinling Institute of Technology, Nanjing, ChinaSchool of Modern Post and Institute of Modern Posts, Nanjing University of Posts and Telecommunications have published the research work: A Large-Scale Multi-Hop Localization Algorithm Based on Regularized Extreme Learning for Wireless Networks, in the Journal: Sensors 2017, 17, 2959DV-hop, PDM and LSVR, the average performance of ML-RELM is improved 16 ofby 18 Compared improved by with 17.93%, 12.78% and 51.55%, respectively. Besides, the average RMS of ML-RELM is 17.93%, 12.78 . . .
  

   

  

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