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Cluster Computing

, Volume 22, Supplement 3, pp 7687–7694 | Cite as

A link-adding strategy for improving robustness and traffic capacity in large-scale wireless sensor networks

  • Zhaohui ZhangEmail author
  • Sanyang Liu
  • Yanqi Yang
  • Yiguang Bai
Article

Abstract

In this research, a new link-adding strategy (LLA) was proposed for large-scale wireless sensor networks (WSNs). It can enhance the network robustness and traffic capacity. Different from the previous link-adding strategies, local world theory is considered of LLA for better match the WSNs. Considering the transmission characteristics and energy consumption mechanism in WSNs, LLA is to use the relative position relationship and set division, establish the new link-adding strategy. In addition, for regulating some extreme cases in previous strategy, tunable parameters are introduced in LLA. In particularly, specific and classic experiments about \(R_{c}\), APL and ASHS, are used to demonstrate the effectiveness of the innovation. Simulation results show that LLA gets a better network robustness and stays a high traffic capacity compared with the previous strategies, e.g., IE strategy and LBF strategy. This work is helpful for designing the large-scale WSNs with more practice.

Keywords

Complex networks Link-adding strategy Large-scale WSNs Robustness 

Notes

Acknowledgement

This work is partially supported by the National Natural Science Foundation of China No. 61373174 and the Fundamental Research Funds for the Central Universities No. JB150716. The authors also gratefully acknowledge the helpful comments and suggestions of the reviewers, which have improved the presentation.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  • Zhaohui Zhang
    • 1
    Email author
  • Sanyang Liu
    • 1
  • Yanqi Yang
    • 2
  • Yiguang Bai
    • 1
  1. 1.School of Mathematics and StatisticsXidian UniversityXi’anChina
  2. 2.Educational administration centerXi’an Peihua UniversityXi’anChina

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