Edge Computing-Based ID and nID Combined Identification and Resolution Scheme in IoT

Huansheng Ning, Xuesong Liu, Xiaozhen Ye, Jie He, Weishan Zhang, Mahmoud Daneshmand

Research output: Contribution to journalArticlepeer-review

20 Scopus citations

Abstract

The ubiquitous connections of physical objects in Internet of Things (IoT) is undoubtedly challenging the consistency mapping between physical space and cyberspace. As the key techniques for establishing the correspondences between physical objects and cyber entities, the objects identification and resolution (IR) attracted extensive attention. Conventional IR schemes in IoT generally rely on a single-mode of identification (ID) or nonidentification (nID) IR, which has big limitations in adaptability and reliability. In this case, a combined IR scheme based on ID and nID is proposed in this paper. In our proposed scheme, the ID code and nID features complement each other so as to break the restrictions of application domain and to provide better and humanized services. In order to improve the efficiency of the scheme, edge computing is introduced to reduce network transmission load and the computing burden of cloud, especially when the input data requires large amount of computing and storage resources. Furthermore, we design and implement a prototype of electronic product code (EPC) (ID) and fingerprint (nID) combined IR. Simulation results show that the edge computing-based ID and nID combined IR scheme has advantages in resolution accuracy and efficiency.

Original languageEnglish
Article number8692393
Pages (from-to)6811-6821
Number of pages11
JournalIEEE Internet of Things Journal
Volume6
Issue number4
DOIs
StatePublished - Aug 2019

Keywords

  • Combined resolution
  • Internet of Things (IoT)
  • edge computing
  • multi-identification

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