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Contents
1. Introduction
2. KREONET
• ScienceDMZ
• KREONET-S
3. ScienceLoRa
4. Discussion / Q & A
Data Facts and statistics collected together for reference or analysis (Oxford)
A collection of facts (numbers, words, measurements, observations, etc.) that
has been translated into a form that computers can process
What kinds of Data ?
Science Big Data Super Highway
Internet of Things Improving the quality of life
Knowledge
Research Facilities
Research Network
DataAcquisition,
Storage,Processing
ScienceDMZ
1.
KREONET (Korea Research Environment Open Network)
Korea Science & Research Network since 1988
GLORIAD-KR, Core Member of GLORIAD project since 2005
17 Regional (Korea) and 4 International GigaPoPs (USA, Hong Kong)
200 R&E members: Universities, Research centers, Government
Institutes, etc.
365×24 NOC (Network Operation Center) Service
Internet Exchanges (KT, SKB, Sejong Telecom) and Clouds (Amazon, MS)
L1 Lightpath, L2 Carrier Ethernet, L3 R&E IP, SDN(VDN)
MAP OF KREONET 2019KOREA RESEARCH ENVIRONMENT OPEN NETWORK
China
United States of America
Europe
Hong Kong
Seattle
Chicago
Amsterdam
CERN
KREONET POPKRLIGHT POP
10G
100G
Jeju
Changwon
IX Internet eXchange – 10G
Jeonju
Busan
Ulsan
Pohang
Gangneung
Incheon Seoul
200G
Gwangju
Daegu
Suwon
Cheonan
Sejong Ochang
Daejeon
Songdo
100G
100G 100G100G
<Major Activities>- ScienceDMZ, KREONET-S, ScienceLoRa- EDUROAM KR (NRO of Korea)- CERT-KREONET, etc.
- Nationwide 100Gbps National Research Network- 17 Regional and 4 International GigaPoPs- KREONET Backbone Availability: 99.99% (2018)- KREONet2/GLORIAD Backbone Availability: 99.53% (2018) - Users: about 200 national research institutes, universities, etc.(500,000 users)
KREONET: Korea Research Environment Open Network
Research AreasHigh Energy Physics & Fusion Energy Science
Astronomy & Climate Changes
Education & e-Culture
Future Internet & Construction
Advanced Scientific Computing Research
Bio/Genome Research & Medical Science
Enabling Science Discovery- New particle, “Higgs” in CERN LHC- Gravitational Wave in LIGO
Global Research Network and Collaboration
DaeJeon
Hong Kong
<TEIN (MoU ) >
Seattle
Chicago
South-East/Middle Asia▷ (Japan) KEK Bell Experiment▷ (Asia) CERN Tier2/3 Center▷ APEC, ASEAN Climate Center▷ (Japan) TEMDEC MediScience
South America
▷ (Chille) CTIO KMTNet(KASI Alien Planetary System)▷ (Chille) GMT (Giant Magellan
Telescope) ▷ (Chille) LSST (Large Synoptic
Survey Telescope)
<Internet2(MoU )>
Europe
▷ (Swiss) CERN LHC▷ (France) ITER Grid▷ JIVE: European VLBI Network▷ (Norway) Satell. Data Receiver
Africa
▷HartRao (Hartebeesthoek Radio Astronomy Observatory)
▷ SAAO (South Africa Astro-Obser.)- KMTNet (KASI)
GEANT (Agreement)
SURFnet (MoU)
Oceania
▷ (Autra.) SKA(Square KilometreArray)
▷ (Austra.) CSRIR/ATNF▷ (Austra.) SSO KMTNet
(KASI Alien Planetary System)
<PacWave (Partnership) >
<StarLight (Partnership) >
Middle East▷ (UAE) SKSH-SNU. Hospi.
Hybrid Diagnosis(Medical Korean wave)
North America
▷ (USA) NOAA (Ocean.-Atmos.▷ (USA) NASA (AeroSpace)▷ (CANADA) McGill University
– GBRAIN project▷ (USA) NERSC/BNL▷ (USA) Stanley institute : NGS ▷ (USA) LIGO Experiment
100G(+10G)10G(+10G)
10G(+10G)
10G(+10G)
10G(+2.5G)Amsterdam 10G
2. ScienceDMZ
PRP(Pacific Research Platform) Vision (Since 2015) Creating a “Big Data Freeway” connected by CENIC/Pacific Wave/ESnet to Internet2 & GLIF
Use Lightpath to connect all data generators and consumers
• Creating a “Big Data” plane integrated with high performance global network
• PRP is linked ScienceDMZs
NRP(National Research Platform, Since 2017) Toward a National Big Data Super-highway
ScienceDMZ Two types DTNs (SDN/L3 based)
• 100G: International/Giant Group Research & Study• 10~40G: Korea Science Research Groups• ~1G: General Users
Participated in 1st PRP Workshop since 2015 & 1st NRP Workshop since 2017 Deployment of ScienceDMZ and Activities
Korea• Focus on Giant Group Research & Study (Data-Intensive Science) areas• Examples: K*GENOME, GENOME RDC, LSST, HEP(CMS, ALICE), SDO, HPC,
GSDC, KSTAR, KBSI TEM, eKVN etc.• Especially, eKVN(Korea eVLBI) and LSST deploy 100G connection (KASI)• Deploy KISTI New Supercomputer with a DTN Cluster on 100G• Dark Matter research using astronomical/particle big data on ScienceDMZ
International• Participate in PRP, NRP, APRP• Asia PRP: Collaboration with APAN members for Deploy and use ScienceDMZ• Participate in ‘Peta Scale DTN Project’ eKVN
KBSI TEM KSTAR
K*GENOME
SDOHEP (CMS, ALICE)
LSST
GSDC
Genome RDC
Supercomputer(5th)
LSST Data Transfer to KISTI/KASI Across 3 Continents (South/North America and Asia) Data Path: Chile(La Serena)-US(AmPATH/FL-Dalla(SC18)-KOREA(KISTI/KASI) Performance: 58Gbps/60Gbps
US-Korea Data Transfer on 100G Data Path: Dallas(SC18) - KISTI/KASI Performance: 99.7Gbps/100Gbps
LSST Data Transfer topology LSST performance from Grafana
3.
KREONET-S A network project to drive softwarization of KREONET infrastructure Provide end-to-end SDN production network services for advanced research and
applications requiring time-to-research and time-to-collaboration KREONET SDN-WAN: 8 sites (2018)
VDN (Virtual Dedicated Network) Provide dynamic and on-demand virtual network provisioning Bandwidth on Demand by user/application
‒ Create end-to-end dedicated network by researcher & scientist Easy-to-Use User Interface
‒ Simple and Rapid: several-click Easy, ms Fast User-oriented Network Visualization and Monitoring
‒ Virtual Network Topology and Operational Attributes
4.
Explosive IoT devices and Traffic
Strategies of IoT Research and Service (USA) ‘Internet of Things’ as one of the ‘Six Technologies with Potential Impacts on US
Interests Out to 2025’, and established a technology road map (‘08). ‘Reshoring Initiative’
for innovating the manufacturing industry using the IoT (’10)
(Europe) IoT as an Action Plan (’09, EU), Investment of GBP 45 million into R&D of IoT
(UK), Productivity increase by 30% through Industry 4.0 (Germany)
(Japan) u-Japan Strategy (‘04), i-Japan 2015 Strategy (‘09), Active Japan ICT Strategy (‘12)
(Korea) Master Plan for Building the IoT (‘14), Korea Smart City Plan (‘18)
Reference Models
The Wireless IoT Network based on LPWA (Low Power Wide Area) for
Science Data Transfer
• SURFNet (Nederland)
- Flooding Research using IoT (2016)
- Technology: LoRa
• Smart AirQ Project (Deutche Telecom,
Germany)
- Air Quality Measurement (Croatia,
Germany, Greece, Saudi Arabia)
- Technology: NB-IoT
• Research of Institute of Sweden (RISE)
- Development of Warning System
for moisture and water damage
(2019. 1)
- Technology: LoRa
Technologies for IoT
LAN
• Standardized CommunicationProtocol
• Pros.- Mobile Service- Home Network- Suitable for Personal Service
• Cons.- Large Battery Consumption- Small Coverage
LPWA
• Explosive Growth Potential
• Pros.- Long Range- Low Battery- Low Cost
• Cons.- Low Data Rate
Cellular
• Standardized CommunicationProtocol
• Pros.- Long Range- High Data Rate- Large Coverage
• Cons.- Large Battery Consumption- High Cost
LoRa/LoRaWAN
LoRa/LoRaWAN is suitable for ScienceLoRa
Technology LTE-M NB-IoT SIGFOX LoRa/LoRaWAN
Coverage ∼ 11Km ∼ 15Km∼ 30Km (rural)∼ 10Km (urban)
∼ 15Km(rural)∼ 5Km(urban)
Battery ∼ 10 years ∼ 10 years ∼ 10 years ∼ 10 years
FrequencyBand
Licensed band (LTE) Licensed band(LTE) ISM band (920MHz) ISM band (920MHz)
Bandwidth 20MHz 200KHz 200KHz ∼ 500KHz
Data Rate < 10/5Mbps(DL/UL) ∼ 100Kbps < 1Kbps < 5Kbps
- LoRa (Long Range): The physical layer or the wireless modulation utilized to create the long range communication link
- LoRaWAN (LoRaWide Area Network): The communication protocol and system architecture for the network while the LoRa physical layer enables the long-range communication link
Features of LPWA
Long Range
• Long Range longer
than Cellular
• Reachable to underground
• Star topology
Max Lifet ime Mult i- Usage Low Cost
• Optimized low power design
• Sustainable for 10 ~ 20 years
• 10 times less power consumption than cellular
• Large-scale Network
• Deployment of own
private network
Provide a variety of
service
• Low Chip-price and
Low capex
• Software based on
open sources
Goal Deploy IoT network infrastructure to transmit environmental radiation data
using KREONET Reliable and safe transmission of environmental radiation data
IERNet (Integrated Environmental Radiation Monitoring Network) Operated and managed by KINS (Korea Institute of Nuclear Safety) Collect and monitor environmental radiation data in Korea (170 sites) www.iernet.kins.re.kr
Environmental Radiation Detector 1st, 2nd and 3rd generation radiation detectors
Connected by RS-232C between a detector and 2G Modem module
Radiation Detector
2G modem
Problem Description 3rd generation radiation detectors have compatibility problems with 2G modem Reduce investment of 2G mobile network infrastructure and service
How to Solve the Problem? Replace 2G network with IoT technology (LoRa/LoRaWAN)
Application Server2G Base stationRadiation Detector
2G
Network server
KINSRadiation Site Mobile Network Operator
Application ServerLoRa Gateway
Radiation Detector
KINSRadiation Site KISTI
ScienceLoRa-IERNet Deployment of the wireless IoT network for Environmental Radiation monitoring
Gateway
Multiple devices access by CSS modulation
Devices management, Registration, Authentication, etc. Data Monitoring, etc.
Device
ScienceLoRaDevice (SX1280)
ScienceLoRaGateway
ScienceLoRaNetwork Server
IERNet Service Server
Environmental Radiation Detector
ScienceLoRa Data Transfer Topology
Network Server Application Server
AES 128 + ARIA + NACL Encryption
ScienceLoRa-Device
Specification
• LoRaTM Modem• 168 dB maximum link budget• +20 dBm - 100 mW constant RF output vs. V supply• +14 dBm high efficiency PA• Programmable bit rate up to 300 kbps• High sensitivity: down to -148 dBm• Bullet-proof front end: IIP3 = -11 dBm• Excellent blocking immunity• Low RX current of 9.9 mA, 200 nA register retention• Fully integrated synthesizer with a resolution of 61 Hz• FSK, GFSK, MSK, GMSK, LoRaTM and OOK modulation• Built-in bit synchronizer for clock recovery• 127 dB Dynamic Range RSSI• Automatic RF Sense and CAD with ultra-fast AFC• Packet engine up to 256 bytes with CRC• Built-in temperature sensor and low battery indicator
ScienceLoRa-Gateway
Specification
• MCU– SAMA5D36(Cortex-A5)– 536MHz
• Memory– 2 x DDR2 2Gb 16Meg x 16 x 8 banks– SLC NAND Flash 2/4Gb 8-bit data– NOR 128Mb 16-bit data
• Interface : IEEE 802.15.4g LoRa, IEEE 802.3 100/1000Base-T, IEEE 802.11 n/ac
• Interface Channel : 4 Channels• Wireless : 0.3kbps to 50kbps• Network Port : Ethernet RJ45 x 2• Debug Port : USB or Serial• Housing Material : Steal(AL, SUS, EGI 등)• Input Power : 5V/1A, Li-ion 3.6V/1A
Deployment Sites ScienceLoRa Network Deployment at 6 sites in Daejeon area
(Daedong, Daejeon, OEMC, Donggu, Gwanpyeong, Daedeok)
OEMC (KINS)
Yuseong (Chungnam National Univ.) Gwanpyeong (Community Service Center)
Daedong (Public Health Center)
Donggu (Ward Office)
Daedeok (Lohas Park)
: ScienceLoRa Gateway
Improvement of data rate
Next Plan
FastLoRa (2.4GHz): Improve data rate from LoRa (900MHz)
(<5Kbps ~13Kbps)
Data rate required in IERNet : 150Kbytes/5min
Expansion to 170 sites of IERNet in Korea
• HPIC detector (1st , 2nd generation), RSDetection detector (3rd generation: NaI, LaBr3)
KISTI-KINS ScienceLoRa MoU (2019. 2Q)
Benefits
Environmental/Nuclear Radiation, Disaster (Flooding, Drought, Microdust, Earthquake), Smartfarm
Provide diverse IoT service using ScienceLoRa
(For example)
Chungnam National Univ.
Detector Gateway
Environmental sensors
Public sector (tracker, health, etc.) Weather/Environment
(temperature, moisture, fine dust, etc.)
Agriculture
The Strategy
High Data Rate (Image)(A variety of service: Agriculture,
IERNet, etc.)
Massive IoT Data(Multiple devices : Smart city, etc.)
Massive IoT Infrastructure for High Data Transmission
Virtual Dedicated Network based on SDN(IoT Virtual Network Environment)
+
The existing IoT networks
Research and Development
Virtual IoT Dedicated Network using
SDN
• Virtual Slicing by Service Class/Type
• Dynamic Provisioning Improve
IoT Security
High Data Rate (Image)
• Modulation
FLRC, GFSK
MAC design
• Oversampling Receiver design
Image processing using ML/AI
Massive IoT Data
• Reduce Interference caused by
using ISM band
Cellular network Cell planning
and network optimization
• Manage multiple devices
Remote fault management
Vision
ScienceLoRaTestbed
High Data Rate for
Massive IoT
‘19
ScienceLoRaTestbed
IERNet
‘26 ~
Deployment ofWireless IoTNetwork and
Service
High Data Rate for Massive IoT
Earthquake, AgricultureClimate/Weather, Safety
Deployment of IoT Networkbased on KREONET
IoT Service in Science /Public sector based on LoRa/LoRaWAN
Nation-wideIoT Ecosystem for Science/ Public sector
’20 ~ ‘22
’23 ~ ‘25
