1. Korea Advanced Institute of Science and Technolgoy
http://autoidlab.kaist.ac.kr
Auto-ID Lab KAIST (Korea)
• Research Activities of Auto-ID Lab,
KAIST(Korea)
• EPC Network on Cloud and Big Data
Analytics
• EPC Sensor Network, IoT Open Platform
• Internet of Things(IoT) Connectivity
• EPC Security and Privacy Technology
• RFID/IoT Business Model
• Auto-ID Lab KAIST research team consists
of 6 professors and more than 50
researchers
D
Director
Prof. Kim, Daeyoung
kimd@kaist.ac.kr
Professor
Prof. Kim, Kwang-Jo
kkj@kaist.ac.kr
Associate Director
Research Prof. Kim, Seonghoon
shkim08@kaist.ac.kr
Professor
Prof. Rho, Jae-Jeung
jjrho@kaist.ac.kr
Professor
Prof. Lee, Sang-gug
sglee@ee.kaist.ac.kr
Associate Director
Prof. Moon, Junghoon
moonj@snu.ac.kr
The latest EPC Network Standard
Implemetation
• LLRP-enabled RFID reader implementation
with emulators
• ALE implementation of Writing, Reading,
Access control, Logical Reader, and Tag
memory APIs
• EPCIS v1.0.1 with scalable Cassandra
NoSQL datastore
• ONS 2.0.1 implementation
• Open source will be available 1Q2014
EPC network SaaS on Cloud
• Research on Cloud-enabled EPC network
management architecture
• EPC information services with Cassandra
No-SQL datastore
• Research on scalable Filtering and
Collection middleware (i.e., ALE
implementation)
• Open source will be available 1Q2014
Auto-ID Lab KAIST, Room 924, N1 Building, 291 Daehak-ro, Yuseong-gu, Daejeon
305-701, Republic of Korea, TEL: +82-42-350-7851.

2. Korea Advanced Institute of Science and Technolgoy
http://autoidlab.kaist.ac.kr
EPC Sensor Network (EPCSN)
• EPC Sensor Network ? EPCSN is an EPC-based
integration architecture for the Internet of Things, in which
the following studies are ongoing.
• A global framework for the IoT Platform, integrated
identification system based on the EPC
• Geo-distance Discovery Service and Object naming
services
• Support RFID and heterogenous wireless networks
technologies like CoAP/6LoWPAN, ZigBee, oBIX, etc.
• Scalable real-time big data processing (e.g., Storm) with
Complex Event Processing engine for the real-world
• Scalable data/event sharing through EPCIS based on
Cassandra datastore
• Versatile LLRP readers are capable of handling diverse
wireles mesh network protocols like ZigBee and 6LoWPAN
as an active multihop tag networks
• F&C Middleware processes continous real-world RFID and
sensor data via CEP engine and parallel processing engine
like Storm
• Scalable EPCIS stores and shares EPCIS events with the
assistance of Cassandra-powered datastore.
Sensors/Actuators Networks
EPC-SN
Network Mgmts
SNAIL 2.0
• Sensor Networks for an All-IP World (SNAIL) is an
IPv6-based Wireless Things Network platform (based
on 6LoWPAN) for the IoT connectivity.
• Integrate important technologies: routing protocols,
mobility management, load balancing for multigateway-based 6LoWPAN, web browsing architecture,
Pretty cloud services and so on.
oBIX/CoAP/HTTP
lwTCP
lwUDP
lwIPv6
lwICMPv6
Adaptation Layer
Adaptation Layer
Transport
Network
Adaptation Layer
IEEE 802.15.3/11/15 PHY/MAC
IEEE 802.15.4 PHY/MAC
WiFi
Internet
6LoWPAN
• Main Component
• SNAIL Gateway/Adaptor: Extends current Wi-Fi
infrastructure to support 6LoWPAN network
environment and other advanced function such as
TCP/HTTP compression, CoAP proxy, Traffic-Aware
Multipath Routing, Mobility management and time
synchronization.
• SNAIL Sensors/Actuators: Represent smart things
in the network with sensing/actuating capabilities and
Web/CoAP access via global IPv6 network.
• Pretty Cloud Service: Web of Things (WoT)
application development PaaS cloud service that
provides deployment infrastructure and SDK for
developing WoT apps.
6LoWPAN
SNAIL 2.0
SNAIL Sensor
Board
SNAIL Adaptor
Auto-ID Lab KAIST, Room 924, N1 Building, 291 Daehak-ro, Yuseong-gu, Daejeon
305-701, Republic of Korea, TEL: +82-42-350-7851.