HORIZONTAL PLATFORMS OFFER FAST TRACK TO VERTICAL APPLICATIONS – APPLICABILITY OF ONEM2M TO SMART CITY AND SMART LIVING

Presenter: Omar Elloumi, oneM2M TP Chair, Alcatel‐Lucent (acknowledgment: the author thanks oneM2M members who provided input to this presentation)

oneM2M www.oneM2M.org

© 2015 oneM2M Outline

• Introduction • Technology trends • Smart cities • Smart living • take‐away

© 2015 oneM2M 2 IoT, the next internet evolution

And so what?

© 2015 oneM2M 3 It’s all about quality of life

Needs/enables Smart Smart Smart Home security/ buildings infrastructure mobility automation Smart Smart governance/ healthcare education Smart Smart Smart technology energy Health, fitness energy and lifestyle ‐micro grid

What makes cities smart What makes living smart (adapted from Frost & Sullivan report) (adapted from Ovum report)

There are more of this

© 2015 oneM2M 4 The IoT empowers a long tail of applications

Source: Alcatel‐Lucent

© 2015 oneM2M 5 TECHNOLOGY TRENDS

© 2015 oneM2M Trend1: horizontalization

NICHE VERTICALS BROAD ADOPTION Low volumes, high ARPC, high TCO High volume, low ARPC, low TCO

• Devices and Applications are designed as “stove‐pipes” • Devices and Applications are designed to collaborate • Devices dedicated for single application use across “clouds” • Solutions are closed and not scalable: duplication of • Devices are used for multiple application purposes dedicated infrastructure • Devices and Applications offering continuously evolve • High development & delivery cost • Easy app development and device integra‐tion through APIs and standard interfaces

Horizontal platform with common functions and interfaces

Source: Alcatel‐Lucent

© 2015 oneM2M 7 Trend 2: softwarization

Source: ITU‐T Focus Group IMT2020 © 2015 oneM2M 8 Trend 3: connectivity, plenty to chose from

Range (extended)

Native Low Power Wide‐area Access LTE enhancements 3GPP Cellular and/or CIoT (GSM/LTE)

Device cost (low) Device cost (high) Bitrate (low) Bitrate (high)

WPAN WLAN (e.g. 802.15.4, DECT (e.g. 802.11) ULE)

Range (low)

Source AIOTI, modified from an ALU contribution © 2015 oneM2M 9 Trend 4: Semantic interoperability

Source: Gridwise interoperability framework http://www.gridwiseac.org/pdfs/ © 2015 oneM2M 10 SMART CITIES

© 2015 oneM2M Vision for building smart cities

2. Digitalize and «sensorise»

1. Build a 3. Build vision Dashboards

4. Expand the vision, Integrate and Innovate

Source: Based on discussions with Dr. Martin Serrano, Insight centre © 2015 oneM2M 12 Smart cities: Challenge 1: integrate – role of open platforms

Automotive Home Energy e‐Health Applications Applications Applications Applications

Common Service Layer

Communication Devices & Hardware Communication Technologies & Protocols

Automotive CommunicationHome NetworksEnergy Health

Platform based integration Based on open standards

Source: CRYSTAL project/Philips

© 2015 oneM2M 13 Smart cities: Challenge 1: integrate – role of semantic interop things Things representation Source: AIOTI represents Common Service layer

Data (e.g. temperature) ontology

Metadata

Semantic description instantiates Other metada (e.g. digital right management and privacy related) Discovery – Consistency – Scalability ‐ Efficiency © 2015 oneM2M 14 Smart cities: Challenge 2: innovate

• App developer focus on app logic: use of Restful APIs • Hide WAN and Area Network How do I address technologies specificities the needs of app developers (interworking exposed as a service by the platform) • Free access to city open data – Controlled access to other data

© 2015 oneM2M 15 oneM2M based smart city deployment example ‐ Busan

Source: SKT © 2015 oneM2M 16 Smart city Busan use case examples

image

LoRa

© 2015 oneM2MSource: SKT 17 Smart city –takeaway • 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 Smart City Platform

Control Vendor 1 Platform 1 Lighting App

• Big Data & Analytics Control Vendor 2 Lighting On2M2M Platform 2 • Storage App 2 service layer & • Application Mash Up Semantics Abstraction & data reusability (semantics) Video App Video Platform 1

Water Mgt App Water management platform

Source: Sierra © 2015 oneM2M SMART LIVING

© 2015 oneM2M Home/ challenges • For consumers, putting • Almost half of today’s together a smart home projects involve remains mostly a do‐it‐ multiple legacy control yourself project. protocols—such as [New York Times 2014‐ BACnet, LonTalk, DALI, 06] ‐Bus, Modbus, KNX, etc —that don’t interoperate. [knxtoday 2014‐04]

© 2015 oneM2M 20 oneM2M Interworking example – Example implementation by KETI AllJoyn

oneM2M oneM2M Interworking Interworking onePass Proxy Proxy App (for AllJoyn) (for Nest) Powertech Smart Plug Pebble

Open oneM2M oneM2M API Service Entity Service Entity AllJoyn(MN-CSE) (IN-CSE)Nest Dawon DNS Smart Plug

oneM2M

oneM2M oneM2M Jawbone Hue Service Entity Service Entity Open (IN-CSE) (IN-CSE) Open API API

OIC onePass oneM2M oneM2M onePass App Interworking Interworking App Proxy Proxy (for Jawbone) (for Hue)

Jawbone U24 Philips Hue ConnecThing App

© 2015 oneM2M 21 oneM2M Interworking example – home automation

Interworking Proxy Entity

AE AE IPE

Mca Mca Mca

CSE CSE

Mcc

OMA LWM2M

Source: Sierra Wireless © 2015 oneM2M 22 Continua example

Source: LNI and Interdigital oneM2M webinar © 2015 oneM2M 23 TAKE AWAY

© 2015 oneM2M Take‐away

• City – Every city is unique – Build a vision: initial set of use cases – Build an architecture that leverages cross sector applications 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.

© 2015 oneM2M 25 Big data is the new oil, clearing up mis‐perceptions

© 2015 oneM2M 26