M2M data management,beyond sensors :things, spaces and their relevant abstractions

Gilles Privat

Orange Labs R&D, Technologies

Sensor-Actuator Networks

it is aboutthings

or

Internet of

Things

What is M2M data about ?

2

Sensor-Actuator NetworksM2M

or

spacesSmart Spaces

Beyond sensors : sensed « things » as network nodes

3

Orange Labs – Research & Development –2009-04-28

Beyond sensors : sensed home as smart space example

4

Deepening M2M data processing 1/3

� « shallow » monitoring service

« semi-deep » monitoring service

M2M client application

sensordatafusion

primarysensor

5

� « semi-deep » monitoring service

primarysensor

sensordata

fusion

contextsensor

M2M client application

sensordata

aggregation

sensordata

fusion

Deepening M2M data processing 2/3

� « deep » appliance monitoring

– takes in multiple (primary + ancillary) context sensor data

– aggregates and

classifies output into relevant

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classifies output into relevant appliance state

M2M client application

primarysensor

sensordata

fusion

contextsensor

sensordata

aggregation

sensordata

fusion stateclassification

Deepening M2M data processing 3/3

� « deep » smart space monitoring

– takes in multiple sensor data

– aggregates and

classifies output into relevant room state

spacesensors

M2M client application

sensordata

fusionclassification

relevant room state

sens

ors

Data-centriccontext management framework

� « Deep » M2M content processed in the same way as context in ambient intelligence applications

� Context management

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Context sources Contextinterpreters

Context users

sens

ors � Context management

frameworks support

– acquisition, aggregation & intepretation all types of context data through multiple processing stages

– consolidation and exposition of higher-level context information to applications

Thing-centric/space-centric data managementCommon abstractions of physical entities in the home

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HomeAbstraction

Layer

Home Data Consolidationin a « Home Abstraction Layer »

Home Applications

Deviceproxy

Deviceproxy

Deviceproxy

Deviceproxy

Roomproxy

Roomproxy

Roomproxy

Roomproxy

Devicesens-actinterface

Devicesens-actinterface

Devicesens-actinterface

Devicesens-actinterface

Roomsens-actinterface

Roomsens-actinterface

Roomsens-actinterface

Roomsens-actinterface

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Layer

titre de la présentation

Interface to shared sensors & actuators

Shared data services for the home

� Principle

– beyond one-to-one device management and monitoring services

– providing common intermediate-level services on top of shared sensor/actuator & network infrastructure

– Home Abstraction Layer : lower layer of Home Operating System

� Shared “IoT” services

– state of physical devices/appliances/items

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– state of physical devices/appliances/items

– individual identity/presence/location/state of persons

� Shared "smart space“ services

– state of rooms

– status of devices in room taken as sensor-equivalent input

– room occupied, empty (depending on the nature of the room)

– nature/level of activity going on in room

– status of persons

– aggregate state of home/building

The sensed-actuated city

Utility (

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Shared city-scale infrastructurefor the supervision of physical networks

� Physical networks

– transportation networks– public transit systems (bus, rail)

– car-sharing/bike-sharing networks

– supply chains

– electrical grid

– gas/water distribution network

– waste collection networks

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– waste collection networks

– telecom networks (viewed as physical networks)

� Common high-level services

– supervisory control (loose coupling)

– distributed control (tight coupling)

– flow analysis

Generic city sensors

� Environmental sensors

– thermal

– hygrometric

– anemometric

– sound

– gas

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– gas

– particles

– light, other EM spectrum

– seismic

� Activity sensors

– pavement/roadway pressure

– vehicle & pedestrian detection

– parking space occupancy

Relevant entities for data consolidationin a « city abstraction layer »

� Devices/things & mobile entities

– edge/arc of physical network

– node/vertex of physical network

– electrical substation

– garbage container

– lamp posts, bus shelters, trafic lights, street signs, etc

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– lamp posts, bus shelters, trafic lights, street signs, etc

– cars

– pedestrians

� Relevant sub-spaces within metropolitan area

– street/road/highway

– compound/block of buildings

– neighborhood/district

– administrative subdivision (e.g. arrondissement)

– municipality

CityAbstraction

Layer

City Data Consolidationin a « City Abstraction Layer »

Smart City Applications

Deviceproxy

Deviceproxy

Deviceproxy

Deviceproxy

Spaceproxy

Spaceproxy

Spaceproxy

Spaceproxy

Devicesens-actinterface

Devicesens-actinterface

Devicesens-actinterface

Devicesens-actinterface

Spacesens-actinterface

Spacesens-actinterface

Spacesens-actinterface

Spacesens-actinterface

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Layer

titre de la présentation

Interface to shared sensors & actuators

Share data services for cities

� Principle

– beyond one-to-one device management and monitoring services

– providing common intermediate-level services on top of shared sensor/actuator & network infrastructure

– City Abstraction Layer : lower layer of City Operating System

� Shared “IoT” services

– state of physical devices/appliances/items

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– state of physical devices/appliances/items

– individual presence/location of persons

� Shared "smart space“ services

– State of individual street, block, district and other city space

– status of devices in space taken as sensor-equivalent input

– space occupied/empty (depending on its nature)

– nature/level of activity going on in space

– Aggregate state for adjoining spaces

M2M (IoT& Smart Spaces) as a new content source: reversing the content provision/aggregation dilemma

� No long-term value from commodity “bit-pipe” role, whatever the network

� M2M # media �for IoT & smart spaces there could be more added value in content aggregation/mediationthan in content provision!

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than in content provision!

� M2M is a boundless source of new “content”

– M2M content provision = owning and/or setting up sensors, or owning the sensor environment?

– IoT/smart space data abstraction and management is key to new role of M2M mediator/aggregator

ConclusionBeyond sensor-centric M2M data management :from data centric to thing/space centric

� Data-centric M2M : generic data management models :

– sensors as database– sensors as context sources, with multistage fusion aggregation– assorted sensor metadata models

� Thing-centric M2M

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– physical things as primary entities addressed and modelled– for complex devices/appliances, hybrid state model with as relevant

intermediary for monitoring and control

� Space-centric M2M

– global space abstractions– may be modelled in a way similar to devices, with hybrid state abstraction

� Definition and standardization of generic model repertoire (for both things and spaces) is key!

thank you