L
Limin Sun
Researcher at Chinese Academy of Sciences
Publications - 225
Citations - 4116
Limin Sun is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Wireless sensor network & The Internet. The author has an hindex of 27, co-authored 215 publications receiving 3011 citations. Previous affiliations of Limin Sun include Xidian University.
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Fog Computing: Focusing on Mobile Users at the Edge.
TL;DR: Fog computing is a lubricant of the combination of cloud computing and mobile applications that extends cloud computing by providing virtualized resources and engaged location-based services to the edge of the mobile networks so as to better serve mobile trafficking.
Journal ArticleDOI
Blockchain for Large-Scale Internet of Things Data Storage and Protection
TL;DR: This work proposes a distributed data storage scheme employing blockchain and cetrificateless cryptography that eliminates the traditional centralized servers by leveraging the blockchain miners who perform “transaction” verifications and records audit with the help of certificateless cryptography.
Journal ArticleDOI
Ubiquitous WSN for Healthcare: Recent Advances and Future Prospects
TL;DR: A novel tiered architecture that can be generally applied to WSN-based healthcare systems is proposed, and the IEEE 802 series standards in the access layer on their capabilities in setting up WSNs for healthcare are analyzed.
Proceedings ArticleDOI
ZiFi: wireless LAN discovery via ZigBee interference signatures
TL;DR: A system called ZiFi is developed that utilizes ZigBee radios to identify the existence of WiFi networks through unique interference signatures generated by WiFi beacons, and a new digital signal processing algorithm called Common Multiple Folding (CMF) that accurately amplifies periodic beacons in WiFi interference signals is developed.
Proceedings ArticleDOI
TPLinker: Single-stage Joint Extraction of Entities and Relations Through Token Pair Linking
TL;DR: This paper proposes a one-stage joint extraction model, namely, TPLinker, which is capable of discovering overlapping relations sharing one or both entities while being immune from the exposure bias, and formulates joint extraction as a token pair linking problem and introduces a novel handshaking tagging scheme.