W
Wei Ni
Researcher at Commonwealth Scientific and Industrial Research Organisation
Publications - 482
Citations - 10712
Wei Ni is an academic researcher from Commonwealth Scientific and Industrial Research Organisation. The author has contributed to research in topics: Computer science & Wireless. The author has an hindex of 44, co-authored 434 publications receiving 7011 citations. Previous affiliations of Wei Ni include University of Technology, Sydney & Alcatel-Lucent.
Papers
More filters
Journal ArticleDOI
Survey on blockchain for Internet of Things
TL;DR: The Blockchain technologies which can potentially address the critical challenges arising from the IoT and hence suit the IoT applications are identified with potential adaptations and enhancements elaborated on the Blockchain consensus protocols and data structures.
Journal ArticleDOI
Blockchain's adoption in IoT: The challenges, and a way forward
TL;DR: A systematic study of the peculiarities of the IoT environment including its security and performance requirements and progression in blockchain technologies is carried out and a way forward is proposed to resolve some of the significant challenges to the blockchain's adoption in IoT.
Journal ArticleDOI
Needle-like Co3O4 anchored on the graphene with enhanced electrochemical performance for aqueous supercapacitors.
Qun Guan,Jianli Cheng,Bin Wang,Wei Ni,Guifang Gu,Xiaodong Li,Ling Huang,Guangcheng Yang,Fude Nie +8 more
TL;DR: The enhancement of excellent electrochemical performances may be attributed to the synergistic effect of graphene and cobalt oxide components in the unique multiscale structure of the composites.
Journal ArticleDOI
Optimal Schedule of Mobile Edge Computing for Internet of Things Using Partial Information
TL;DR: This paper generates asymptotically optimal schedules tolerant to out-of-date network knowledge, thereby relieving stringent requirements on feedbacks and able to dramatically reduce feedbacks at no cost of optimality.
Journal ArticleDOI
Anatomy of Threats to the Internet of Things
TL;DR: A composite guideline for the development of an IoT security framework based on industry best practices is proposed and also highlights lessons learned, pitfalls and some open research challenges.