Research on Invulnerability of Wireless Sensor Networks Based on Complex Network Topology Structure

Authors

  • Zhigang Zhao School of New Media, Zhejiang University of Media and Communications

DOI:

https://doi.org/10.3991/ijoe.v13i03.6863

Keywords:

Wireless sensor networks, Complex networks, Network Topology, Network survivability

Abstract


For real-world wireless sensor networks (WSNs), the invulnerability of the network is very critical, because a cascading failure would cause a serious effect on the whole network performance. Network survivability is closely dependent on the topology structure of a network. In this paper, [Note: If you use "firstly," you need to add "secondly," "thirdly,"... "finally" throughout this paragraph; I don't see a need for this here] we meticulously study the topology characteristics of WSNs based on the complex network theory. According to scale-free and small-world features of complex networks, the nodes of WSNs are divided into different types, including common node, super node, and sink node. From the point of view of invulnerability in complex networks, the influence of different types of nodes on the sensor networks' invulnerability is analyzed. Simulation experiments show that adding super nodes to the WSNs would significantly improve network survivability.

Author Biography

Zhigang Zhao, School of New Media, Zhejiang University of Media and Communications

Zhigang Zhao is currently a lecturer of Zhejiang University of Media and Communications. He received his M.S. degree in software engineering from Zhejiang University in 2006. His research interests include computer applications, artificial intelligence, wireless sensor network, data mining and computer simulation. He is a member of CCF.

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Published

2017-03-28

How to Cite

Zhao, Z. (2017). Research on Invulnerability of Wireless Sensor Networks Based on Complex Network Topology Structure. International Journal of Online and Biomedical Engineering (iJOE), 13(03), pp. 100–112. https://doi.org/10.3991/ijoe.v13i03.6863

Issue

Section

Papers