Original scientific paper
https://doi.org/10.31534/engmod.2019.2-4.ri.02d
Energy Consumption Model of WSN Based on Manifold Learning Algorithm
Chunliang Zhou
orcid.org/0000-0003-3238-9068
; Department of College of Information Engineering, Ningbo Dahongying University, Zhejiang, CHINA
Weiqing Qu
orcid.org/0000-0003-3238-9068
; Department of College of Information Engineering, Ningbo Dahongying University, Zhejiang, CHINA
Zhengqiu Lu
; Department of Information & Media, Zhejiang Fashion Institute of Technology, Zhejiang, CHINA
Yangguang Liu
; Department of College of Information Engineering, Ningbo Dahongying University, Zhejiang, CHINA
Abstract
Energy saving is one of the most important issues in wireless sensor networks. In order to effectively model the energy consumption -in wireless sensor network, a novel model is proposed based on manifold learning algorithm. Firstly, the components of the energy consumption by computational equations are measured, and the objective function is optimized. Secondly, the parameters in computational equations are estimated by manifold learning algorithm. Finally, the simulation experiments on OPNET and MATLAB Simulink are performed to evaluate the key factors influencing the model. The experimental results show that the proposed model had significant advantage in terms of synchronization accuracy and residual energy in comparison with other methods.
Keywords
wireless sensor network; energy consumption model; manifold learning; simulation
Hrčak ID:
234624
URI
Publication date:
21.2.2020.
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