A Hybrid SWIM Data Naming Scheme Based on TLC Structure

Zhijun Wu and Bohua Cui
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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

Future Internet, 2020, vol. 12, issue 9, 1-18

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.

Keywords: index terms SWIM; naming method; hybrid; TLC structure; bloom filter (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2020
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