TY - JOUR
T1 - Edge Computing-Based ID and nID Combined Identification and Resolution Scheme in IoT
AU - Ning, Huansheng
AU - Liu, Xuesong
AU - Ye, Xiaozhen
AU - He, Jie
AU - Zhang, Weishan
AU - Daneshmand, Mahmoud
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2019/8
Y1 - 2019/8
N2 - 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.
AB - 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.
KW - Combined resolution
KW - Internet of Things (IoT)
KW - edge computing
KW - multi-identification
UR - http://www.scopus.com/inward/record.url?scp=85070220736&partnerID=8YFLogxK
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U2 - 10.1109/JIOT.2019.2911564
DO - 10.1109/JIOT.2019.2911564
M3 - Article
AN - SCOPUS:85070220736
VL - 6
SP - 6811
EP - 6821
JO - IEEE Internet of Things Journal
JF - IEEE Internet of Things Journal
IS - 4
M1 - 8692393
ER -