omar elloumi, onem2m tp chair, alcatel lucent · data (e.g. temperature) metadata semantic...
TRANSCRIPT
© 2015 oneM2M
Presenter: Omar Elloumi, oneM2M TP Chair, Alcatel‐Lucent(acknowledgment: the author thanks oneM2M members who provided input to this presentation)
oneM2M www.oneM2M.org
HORIZONTAL PLATFORMS OFFER FAST TRACK TO VERTICAL APPLICATIONS –
APPLICABILITY OF ONEM2M TO SMART CITY AND SMART LIVING
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Outline
• Introduction• Technology trends• Smart cities• Smart living• take‐away
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IoT, the next internet evolution
And so what?
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It’s all about quality of life
Health, fitness and lifestyle
Home security/automation
Smartmobility
Smartenergy
What makes living smart(adapted from Ovum report)
Smart infrastructure
What makes cities smart(adapted from Frost & Sullivan report)
Smarttechnology
Smart buildings
Smartgovernance/education
Smartenergy
Smarthealthcare
Smart grid‐micro grid
Needs/enables
There are more of this
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The IoT empowers a long tail of applications
Source: Alcatel‐Lucent
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TECHNOLOGY TRENDS
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Trend1: horizontalization
BROAD ADOPTION High volume, low ARPC, low TCO
NICHE VERTICALSLow volumes, high ARPC, high TCO
• Devices and Applications are designed as “stove‐pipes”• Devices dedicated for single application use• Solutions are closed and not scalable: duplication of dedicated infrastructure
• High development & delivery cost
• Devices and Applications are designed to collaborate across “clouds”
• Devices are used for multiple application purposes• Devices and Applications offering continuously evolve• Easy app development and device integra‐tion through
APIs and standard interfaces
Horizontal platform with common functions and interfaces
Source: Alcatel‐Lucent
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Trend 2: softwarization
Source: ITU‐T Focus Group IMT2020
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Trend 3: connectivity, plenty to chose from
Range (extended)
Range (low)
Device cost (high)Bitrate (high)
WLAN(e.g. 802.11)
Native Low Power Wide‐area Access
Device cost (low)Bitrate (low)
3GPP Cellular(GSM/LTE)
LTE enhancementsand/or CIoT
WPAN(e.g. 802.15.4, DECT
ULE)
Source AIOTI, modified from an ALU contribution
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Trend 4: Semantic interoperability
Source: Gridwise interoperability frameworkhttp://www.gridwiseac.org/pdfs/
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SMART CITIES
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Vision for building smart cities
2. Digitalize and «sensorise»
4. Expand the vision, Integrateand Innovate
3. Build Dashboards
1. Build a vision
Source: Based on discussions with Dr. Martin Serrano, Insight centre
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Smart cities:Challenge 1: integrate – role of open platforms
Source: CRYSTAL project/Philips
Platform based integrationBased on open standards
Home Energy HealthAutomotive
Communication Devices & Hardware
Communication Technologies & Protocols
Common Service Layer
Communication Networks
AutomotiveApplications
HomeApplications
EnergyApplications
e‐HealthApplications
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Smart cities:Challenge 1: integrate – role of semantic interop
Common Service layer
things Things representation
Data (e.g. temperature)
Metadata
Semantic description
Other metada (e.g. digital right
management and privacy related)
instantiates
ontology
represents
Discovery – Consistency – Scalability ‐ Efficiency
Source: AIOTI
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Smart cities:Challenge 2: innovate
How do I addressthe needs of app developers
• App developer focus on app logic: use of Restful APIs
• Hide WAN and Area Network technologies specificities(interworking exposed as a service by the platform)
• Free access to city open data– Controlled access to other data
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oneM2M based smart city deployment example ‐ Busan
Source: SKT
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Smart city Busan use case examples
LoRa
image
Source: SKT
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• Enable scalable Smart City platform to support multiple vendor, protocol and industry standards
• Uniform service layer across range of applications, semantic abstraction, interoperability
• Ease of integration
Control Vendor 1Platform 1
Control Vendor 2Platform 2
Smart City Platform
• Big Data & Analytics
• Storage
• Application Mash Up & data reusability (semantics)
Video Platform 1
On2M2M
service layer &
Semantics Abstraction
Lighting App
Lighting App 2
Video App
Water MgtApp
Water management platform
Source: Sierra Wireless
Smart city – take away
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SMART LIVING
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Home/building automation challenges
• For consumers, putting together a smart home remains mostly a do‐it‐yourself project. [New York Times 2014‐06]
• Almost half of today’s projects involve multiple legacy control protocols—such as BACnet, LonTalk, DALI, C‐Bus, Modbus, KNX, etc — that don’t interoperate. [knxtoday 2014‐04]
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oneM2M Interworking example – home automation
ConnecThing App
AllJoyn Google Nest
Jawbone U24 Philips Hue
PowertechSmart Plug
oneM2MService Entity(MN-CSE)
Dawon DNSSmart Plug
oneM2M Interworking
Proxy (for AllJoyn)
oneM2MService Entity
(IN-CSE)
oneM2M Interworking
Proxy (for Nest)
oneM2MService Entity
(IN-CSE)
oneM2M Interworking
Proxy (for Hue)
oneM2MService Entity(IN-CSE)
oneM2M Interworking
Proxy (for Jawbone)
Pebble
NestAllJoyn
OIC
HueJawbone
oneM2M
onePassApp
OpenAPI
onePassApp
OpenAPI
onePassApp
OpenAPI
Example implementation by KETI
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oneM2M Interworking example – home automation
InterworkingProxy Entity
AE AE
CSE CSE
McaMca McaMca
MccMcc
IPE
McaMca
OMA LWM2M
Source: Sierra Wireless
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Continua example
Source: LNI and Interdigital oneM2M webinar
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TAKE AWAY
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Take‐away• City
– Every city is unique– Build a vision: initial set of use cases– Build an architecture that leverages cross sectorapplications using open standards
– Stimulate and cultivate a collaborative culture for innovation
• Living– All of the above– Citizen engagement is key. Projects should be participatory, inclusive and social.
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Big data is the new oil,clearing up mis‐perceptions