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A Hybrid SWIM Data Naming Scheme Based on TLC Structure

Author

Listed:
  • Zhijun Wu

    (School of Electronics & Information & Automation, Civil Aviation University of China, Tianjin 300300, China)

  • Bohua Cui

    (School of Electronics & Information & Automation, Civil Aviation University of China, Tianjin 300300, China)

Abstract

Aiming at the problem of low interconnection efficiency caused by the wide variety of data in SWIM (System-Wide Information Management) and the inconsistent data naming methods, this paper proposes a new TLC (Type-Length-Content) structure hybrid data naming scheme combined with Bloom filters. This solution can meet the uniqueness and durability requirements of SWIM data names, solve the “suffix loopholes” encountered in prefix-based route aggregation in hierarchical naming, and realize scalable and effective route state aggregation. Simulation verification results show that the hybrid naming scheme is better than prefix-based aggregation in the probability of route identification errors. In terms of search time, this scheme has increased by 17.8% and 18.2%, respectively, compared with the commonly used hierarchical and flat naming methods. Compared with the other two naming methods, scalability has increased by 19.1% and 18.4%, respectively.

Suggested Citation

  • Zhijun Wu & Bohua Cui, 2020. "A Hybrid SWIM Data Naming Scheme Based on TLC Structure," Future Internet, MDPI, vol. 12(9), pages 1-18, August.
    • Handle: RePEc:gam:jftint:v:12:y:2020:i:9:p:142-:d:403786
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