Transcript
Internet of Things Communications within Smart City
Raymond Poon Customer Solutions Architect April 2015
Agenda • Smart City with IoE • Smart City IoE use case • Communication Challenges • Summary
Smart City with IoE
Increasingly Everything will be Connected to Everything
50 “Billion
40
30
20
Billions of Devices
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Smart Objects” Inflection point
Rapid Adoption rate of digital infrastructure: 5X faster than electricity and telephony
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12.5
10 6.8 0
7.2
7.6
Timeline 2010 4 BRKARC-2008
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World Population
From Internet of Things to The Internet of Everything Networked Connection of People, Process, Data, Things People
Process
Connecting People in More Relevant, Valuable Ways
Delivering the Right Information to the Right Person (or Machine) at the Right Time
Data
Things
Leveraging Data into More Useful Information for Decision Making BRKARC-2008
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Physical Devices and Objects Connected to the Internet and Each Other for Intelligent Decision Making Cisco Public
Connected City Value Chain Example: Smart Parking New Things Connected
New Data Flows
Process Innovation
People Impact
! Parking spaces ! Parking meters
! Space availability
! ! ! !
! Traffic wardens ! Citizens/drivers ! City planners
Pricing Payment Enforcement Finding spaces
Value Impact • • • •
Example: City of Nice’s Connected Boulevard BRKARC-2008
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Increase compliance by 30% City data sales Reduced congestion, time-to-park Dynamic pricing — revenue increase
$$
Smart City – where do we want to go ? Factory Optimization
Municipal Command & Control Center Cloud & Services Smart Grid
Lighting Poles
Building Optimization
Logistics Optimization
Home Energy Mgmnt Traffic Flow Optimization
City WiFi INTELLIGENT CITY
Parking
INTELLIGENT Building Connected Ambulances
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INTELLIGENT HIGHWAY Automated Intelligent Digital Car System Signage
INTELLIGENT Community Traffic Cameras Cisco Confidential
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Source: Intel
Cities Have Traditionally Addressed These Issues in Silos Every city department makes investments independently resulting in: ! No sharing of infrastructure costs and IT resources ! No sharing of intelligence/information, e.g., video feeds, data from sensors, etc. ! Waste and duplication of investment and effort ! Difficulty in scaling infrastructure management
Traffic management
Public safety
City lighting
Pollution/ environment
Waste management
Parking optimisation
This fragmented approach is inefficient, has limited effectiveness, and is not economical
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HK Airport 3rd Run Way
Pearl Delta River Tri Bridge
MTR & Rail Revamp & Newline
141B Macau IoT Innovation
133B
110B
East Kowloon Smart City District
West Kowloon Cultural District
5B
5B 23B
BRKARC-2008
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Smart City IoE Use Cases
Street Light Management Concepts Monitoring/Control Applications
Smart bulb Smart module
Concentrator
Individual control and monitoring
Control/monitoring protocol over Power Line Communication IEE1901.2 Standard
Street Cabinet
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BRKARC-2008
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Waste Management Concepts Monitoring/Control Applications
Field Area Network
Fill sensor Temp sensor (fire detection)
Street © 2013-2014 Cisco and/or its affiliates. All rights reserved.
BRKARC-2008
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Cisco Confidential
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Parking Management IoE for Cities Billing/ Transaction
Policy/Rules
Asset Management
Publishing
Field Area Network
Multi-Service Kiosk ParkPlace Sensor
Curb
Traffic Flow Sensor
Street
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BRKARC-2008
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Cisco Confidential
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Smart Citizen Wearable Measures Temperature Humidity CO2 NO2 Light Sound Arduino Compatible Wifi Uplink Solar Panel Charger
Data sends to Smart Citizen Platform
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BRKARC-2008
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Cisco Confidential
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Smart Citizen Portal and App
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Smart City Deployment
Light Module Wireless Mesh Backhaul
Wireless LAN SSID: IoT Sensor
Air/Noise Sensor
Field Area GW Fog Computing
6LoWPAn @ 900 Mhz
Wireless LAN SSID: IoT Display
Wireless LAN 802.11a/b/g/n SSID: Internet
6LoWPAn @ 900 Mhz
Parking Sensor
Street © 2013-2014 Cisco and/or its affiliates. All rights reserved.
BRKARC-2008
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Traffic Flow Sensor Cisco Confidential
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Smart City Communication Challenges
IoT Device Characteristics
BRKARC-2008
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Field Area Network (FAN)
Wide Area Network
Neighborhood Area Network Field Area Network Router
BRKARC-2008
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Smart Device Assumptions & Constraints for Protocols
BRKARC-2008
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IoT Architectural Philosophy Closed Systems Various Protocols Standardized Networks (Little external interaction) (IP Based/ISO Stack) (Modbus, SCADA, BACnet, LON, HART) Standardized Interfaces (Wireless/Wired)
Protocol Gateways (Inherently complex, inefficient and fragmented
)
networks
Proprietary Networks (Usually layer 2 based)
Distributed Intelligence (e.g. Fog Computing)
From
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Convergence of Applications Business Application #1
Business Application #2
Business Application #3
Business Application #1
Business Application #2
Business Application #3
Converged Application Infrastructure Network #1
Network #2
Network #3
Converged IP-Based Network
Device #1
Device #2
Device #3
Device #1
Existing Proprietary Vertical Applications and Networks
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Device #2
Device #3
Converged Network Based on Open Standards and Common Data Models
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46 million smart meters in the U.S alone 1.1 billion data points (.5TB) per day
A single consumer packaged good manufacturing machine generates 13B data samples per day
A large offshore field produces 0.75TB of data weekly A large refinery generates 1TB of raw data per day
10TB of data for every 30 minutes of flight With >25,000 flights per day, petabytes daily
The World Generates More Than 2 Exabytes of Data Every Day
BRKARC-2008
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Introducing Fog Computing Traditional Computing Model
IoT Computing Model
(Terminal/Mainframe, Client-Server, Web)
Data Center/ Cloud
Data Center/ Cloud Latency
Assumes Infinite, Bandwidth, 0 Delay
Assumes Limited Bandwidth, Variable Delay, and Intermittent Connectivity
Resiliency Fog Security Data Grows Faster Than Bandwidth
Endpoint
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Assumes Limited Bandwidth, Variable Delay, and Intermittent Connectivity
Device
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Enables Applications At The Network Edge
IOx
Application Management
Application Store
Linux / Other OS IOS
Distributed Applications IOx SDK
Hardened Edge Platforms: Embedded Storage and Compute
BRKARC-2008
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IoT Open Standard for Smart City
Open Standards IP-based Reference Model Application Layer
Web Services, EXI, SOAP, RestFul,HTTPS/CoAP
Metering IEC 61968 CIM, ANSI C12.22, DLMS/COSEM,…
SCADA IEC 61850, 60870 DNP3/IP, Modbus/TCP,…
Transport Layer
UDP/TCP
Network Layer
IPv6/IPv4
IPv6 RPL
Mgmt Data Link Layer
LLC M A C
Physical Layer
6LoWPAN (RFC 6282)
DNS, NTP, IPfix/Netflow, SSH RADIUS, AAA, LDAP, SNMP,… (RFC 6272 IP in Smart Grid)
Security (DTLS/TLS) Addressing, Routing, Multicast, QoS, Security
802.1x / EAP-TLS & IEEE 802.11i based Access Control IPv6 over PPP IPv6 over Ethernet (RFC 2464) (RFC 5072)
IP or Ethernet Convergence SubL.
IEEE 802.15.4e MAC enhancements IEEE 802.15.4 including FHSS IEEE 802.15.4g 2.4GHz, 915, 868MHz DSSS, FSK, OFDM
IEEE 1901.2 802.15.4 frame format IEEE 1901.2 NB-PLC OFDM
IEEE 802.11 Wi-Fi
IEEE 802.3 Ethernet
2G, 3G, LTE Cellular
IEEE 802.16 WiMAX
IEEE 802.11 Wi-Fi 2.4, 5 GHz, Sub-GHz
IEEE 802.3 Ethernet UTP, FO
2G, 3G, LTE Cellular
IEEE 802.16 WiMAX 1.x, 3.xGHz
• Open Standards – at all levels to ensure interoperability and reduce technology risk for utilities • 15-20 years lifetime and future proofing – Internet has 25 years lifetime and is continuously evolving BRKARC-2008
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IEEE 802.15.4g • Smart Utility Networks (SUN) – Long transmission range (maximum power allowed under regulation) – High density (>1000 devices within transmission range) – Geographically widespread (urban and suburban areas) – Operate worldwide (different frequency bands)
BRKARC-2008
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IEEE 802.15.4g/e • PHY (IEEE 802.15.4g) – Operating Band: 902-928 MHz – Number of Channels: 64 – Channel Spacing: 400 kHz – Modulation: Binary Frequency Shift Keying – Baud Rate: 150 baud/sec – Bit Rate: 75 kbits/sec after Forward Error Correction – Output Power: 30 dBm
• MAC (IEEE 802.15.4e) – Information Elements for channel hopping and global time sync – Enhanced Beacons for network discovery – Enhanced ACKs for security and link quality estimation BRKARC-2008
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6LowPAN Overview • Adaptation layer for IPv6 over IEEE 802.15.4 • IPv6 datagram fragmentation – Larger frames " increased Packet Error Rate – Split datagram across multiple 802.15.4 frames
• IPv6 header compression – – – –
Does not rely on per-flow state Stateless compression (compact forms for redundant and commonly used values) Context compression (compact forms for IPv6 prefixes) Can reduce 48-byte UDP/IPv6 header to 6 bytes IPv6 Header
IPv6 Payload
6LowPAN Adaptation 802.15.4 6LowPAN
BRKARC-2008
IPv6 Hdr
IPv6 Payload (Frag 1)
IPv6 Datagram (Frag 2)
802.15.4 6LowPAN
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802.15.4 6LowPAN
IPv6 Datagram (Frag 3)
Wi-SUN Alliance Vision: Drive industry to embrace open standards and interoperability for wireless sensor networks. • Field Area Network Working Group • Definition of Wi-SUN profile based on IEEE 802.15.4g standard • Testing • Certification • www.wi-sun.org
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• Certification for products built on the IEEE 1901.2 Low-Frequency, NarrowBand Powerline Communications standard • Leverages HomePlug’s long established programs & expertise in testing & certifying powerline networking products. • HomePlug will promote the adoption of Netricity products to foster an ecosystem served by multiple technology vendors. The Netricity™ program is supported by HomePlug Alliance member companies:
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Summary
Conclusion • Avoid Silo Development • Adaption of Open Protocol • Leverage Open Data • Remember the constraint of Smart Device and it’s purpose
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Recommended reading • Covers the trends in Smart Objects • RPL protocol • Detailed application scenarios • Written by – JP Vasseur (Cisco Fellow) – Adam Dunkels (Inventor of Contiki O/S, uIPv6)
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References • IPv6 FAN architecture white paper – http://www.cisco.com/web/strategy/docs/energy/ip_arch_sg_wp.pdf
• Unified FAN architecture for Distribution Automation white paper – http://www.cisco.com/web/strategy/docs/energy/ida_wp.pdf
• Cisco FAN solution – www.cisco.com/go/fan
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