onem2m ADAPTED FOR SMART CITIES ETSI IOT M2M WORKSHOP 2016 NOV 15 TH 2016

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onem2m ADAPTED FOR SMART CITIES ETSI IOT M2M WORKSHOP 2016 NOV 15 TH 2016 Presenter: Omar Elloumi, onem2m TP Chair, Nokia Bell Labs and CTO group omar.elloumi@nokia.com onem2m www.onem2m.org 2016 onem2m

Outline Introduction Role of onem2m in smart cities A possible Smart city blue print Take away 2016 onem2m 2

INTRODUCTION 2016 onem2m

Standards for Smart City Should cities worry? Do we lack standards for smart cities? What are the gaps? IoT common and platform standards are generally applicable to Smart Cities Smart cities enabled IoT platforms are generally about cross domain and big (incl. open) data Several standards exists for, e.g.: Street light: Source: STF505 based on ETSI TR 103 375 Water mgmt: 2016 onem2m 4

Where do we stand? Three routes to smart cities: (source The Smart City Playbook, Machina research 2016) The Anchor route: vertical stand alone applications The beta city route: build hands on experience through pilot programs which may lead to operational deployments The platform route: network infrastructure and IoT platform as a step preceding onboarding new applications 2016 onem2m 5

Key findings/trends «City 2.0» Smart city platforms bring significant efficiencies when the number of applications grows Shared data Single API set and data formats are beneficial for developers Initial cost of platform investment tends to be marginal compared to economies of scale, OPEX options can alleviate initial costs Connectivity, plenty to chose from Machine learning and analytics create great benefits (e.g. traffic management, parking management) Living labs for research and innovation Open standards are crucial for sustainable success 2016 onem2m 6

2016 onem2m 7

ROLE OF ONEM2M IN SMART CITIES 2016 onem2m

Vision for building smart cities 2. Digitalize and «sensorise» 1. Build a vision 3. Build Dashboards 4. Expand the vision, Integrate and Innovate Source: Based on discussions with Dr. Martin Serrano, OASC and Insight centre 2016 onem2m 9

Vision Example Singapore Smart Nation initiative: Anticipation, Vision and Execution Past In Progress Future NG-NBN National Fiber Network COLLECT & COMPREHEND Deploy an operating system accessible by all stakeholders Sustain livability and position Singapore as a (regional) Digital Harbor to drive economic growth. Wireless National WiFi Network CONNECT Deploy sensors using Above Ground Boxes for electricity & connectivity Singapore Government ICT Investment in BSGD (1SGD = 0.65Euro) 2,0 1,73 1,1 1,1 1,2 1,2 1,2 1,3 1,8 Generalized Heterogeneous Network to boost Citizen Quality of Services 1,0 0,0 Source: IDA 2014 2016 onem2m 10

Integration challenge Automotive Applications Home Applications Energy Applications e Health Applications Common Service Layer Communication Devices & Hardware Automotive Communication Technologies & Protocols Communication Networks Home Energy Health Platform based integration Based on open standards Source: CRYSTAL project/philips 2016 onem2m 11

Semantic interop challenge things represents Things representation Common Service layer Source: AIOTI Data (e.g. temperature) ontology Metadata Semantic description Other metada (e.g. digital right management and privacy related) instantiates Discovery Consistency Scalability Efficiency 2016 onem2m 12

It s not about the technology! Ontology driven approaches provides a lower costs when dealing with high number of data sources. It ensure interoperability for open and big environments. Source: Price Waterhouse Cooper 2016 onem2m 13

Innovation challenge How do I address the needs of app developers App developers 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 2016 onem2m 14

onem2m based smart city deployment example Busan Source: SKT 2016 onem2m 15

A POSSIBLE SMART CITY BLUE PRINT 2016 onem2m

Key requirements for smart city IoT platform Horizontal platform for new deployments Existing deployments Smart city is an incremental and participatory journey New deployments should, where possible, leverage a converged networks and an horizontal service platform Open standards are key to avoid lock in and master the total cost of ownership Do not disrupt existing vertical deployment but seek opportunities for an integration path with an horizontal approach Build value through smash ups and open data Participatory and innovative approach Security and (device) management are key Surveys Address needs for innovation through app development: APIs Access to, eventually semantically enriched, Open data (where feasible and subject to privacy legislation/citizen consent) Despite initial focus on IoT data, there is an increased interest in security and device management (which go hand in hand). Need arises from security threat analysis conducted recently: e.g. Two researchers analyzed Smart meters widely used in Spain and discovered that can be hacked by attackers to harm the overall National power network., source: http://securityaffairs.co/wordpress/29353/security/smart meters hacking.html 2016 onem2m 17

A possible smart city blue print Cloud apps Dashboards Dashboards I/F to other IoT platforms Data center REST APIs City City Apps Apps Group mgmt Location Discovery Device Interwor king Data Mgmt Big Data Storage 3rd party 3rd party apps apps REST APIs Smart city backend Smart city frontend Cloud VM Mgmt Big Data enablers Broker Security Device mgmt Adapter Analytics Analytics apps apps SPARQL or REST APIs Open data (Semantics) App Adapter App Existing deployments App Other data sources Field domain Gateway Gateway Device D D D DD D D D D LWM2M 2016 onem2m 18

Design Principles Frontend/backend scale differently. Frontend designed for massive secure connections to devices/apps, dev mgmt, interworking, protocol adaption Backend about data functions: replication, anonymization, VM management, availability etc. Semantic engine is about metadata to enrich data sets, reasoning: fast track for integration and analytics Build value for existing application through adapters Open APIs and open data are key for innovation I/F to other platforms: utility, automotive (autonomous driving), etc. 2016 onem2m 19

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 Integrate existing deployments Stimulate and cultivate a collaborative culture for innovation onem2m provides a fast track and future proof IoT based smart city complementary standards and open source are needed 2016 onem2m 20