A Novel Wireless Sensor Network Evolution Model Based on Energy-Efficiency

Authors

  • Hui Gao Zhengzhou Railway Vocational & Technical College
  • Zhixian Yang Zhengzhou Railway Vocational & Technical College

DOI:

https://doi.org/10.3991/ijoe.v13i03.6855

Keywords:

Wireless sensor network, Complex networks, Evolution model, Energy-aware, Energy-balanced

Abstract


The Barabási–Albert (BA) model is a famous complex network model that generates scale-free networks. Wireless sensor networks (WSNs) had been thought to be approximately scale-free through lots of empirical research. Based on the BA model, we propose an evolution model for WSNs. According to actual influence factors such as the remainder energy of each sensor and physical link capability of each sensor, our evolution model constructs WSNs by using a preferential attachment mechanism. Through simulation and analysis, we can prove that our evolution model would make the total energy consumption of the WSNs more efficient and have a superior random node error tolerance.

Author Biographies

Hui Gao, Zhengzhou Railway Vocational & Technical College

Hui Gao, majoring in computer application technology, master of engineering, engaged in computer teaching and network R&D, with research focused on computer network and application. He once participated in the national key teacher training and college key laboratory construction and also participated in the provincial project Research on Application of Semiconductor Nanowires in Solar Cells, which was identified as one of the scientific and technological achievements in Henan Province.

Zhixian Yang, Zhengzhou Railway Vocational & Technical College

Zhixian Yang, majoring in computer application technology, master of engineering, engaged in computer teaching and software R&D, with research focused on computer and IOT application.

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Published

2017-03-28

How to Cite

Gao, H., & Yang, Z. (2017). A Novel Wireless Sensor Network Evolution Model Based on Energy-Efficiency. International Journal of Online and Biomedical Engineering (iJOE), 13(03), pp. 4–16. https://doi.org/10.3991/ijoe.v13i03.6855

Issue

Section

Papers