SensorPlanet: a global test platform for mobile- centric ...• Ultimate goal to have multiple SensorPlanet sites around the globe • Data gathered on sites accumulated in central

1 © 2006 Nokia SensorPlanet

SensorPlanet:

a global test platform for mobile-centric wireless sensor network research

Owner: Henry TirriContacts: Barbara Heikkinen, Boda Péter

Nokia Research Center, Helsinki


Why a phone should play any role in Wireless Sensory Nets?

... because it is there ...


SensorPlanet

a Nokia-initiated global cooperation on large scale wireless sensory networks

mobile phone oriented sensory input acquisition

a research platform that enables collection and analysis of sensory data on a never seen quantity


SensorPlanet in a snapshot

Mobile phones act as sensor node

and/or sink node.

Mixed sensor networks which

consists of ordinary sensors and mobile

sensors.

Sink node

Sink nodeSink node

CentralData

Repository

CentralData

Repository

„Green phones“providing environmental

data, sharing

“Service manifolds”Traffic, masses of people ...

the more data shared the more accurate

(© Copyright 2000 Martin Lamm)

(© Copyright 2006 Petri Koskelainen)

“Urban games”Locations shared,

participation of the public ...

Application #1

Application #2Novel use cases


SensorPlanet University Cooperation

• Ultimate goal to have multiple SensorPlanet sites around the globe• Data gathered on sites accumulated in central repository• Common access to accumulated data for research purposes• Single interface to sensory data from the world

• Universities:• MIT/CSAIL (CarTel) and Media Lab• UCLA: Urban Sensing• NYU: urban games & body-area networks, physical diary• Stanford• University of Washington: in-door positioning, orientation sensing• Cambridge University: pollution detection

• others under negotiation

© 2006 Nokia SensorPlanet

Nokia in-houseSensorPlanet demos

under development


SensorPlanet’s Horizontal & Vertical implementations

1) Magrathea 3)Virtual GraffitiIn-door attachment and

spotting of virtual objectsBT-based positioning

Server-based repository

Passing primitive & robust codes from device to device

Report back mechanism about spreading

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Squ

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Dirk Trossen (NRC/Hki)An Open-Source platform

4) Nokia RemoteSensing Architecture

(N-RSA)

WLA

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5) NRC Site ImplementationWLAN based indoor

positioningSensor platforms

2) InteractiveServices

Infrastructure forbuilding urban services


Virtual Graffiti

• Description:• Users’ movement is tracked and they can

leave virtual “tags” in their indoor environment.

• These tags can include picture, music, video or text, so they are a sort of virtual graffiti.

• Other users can view existing tags and leave their own.

• Objective:• Implement a client-server architecture for

Virtual Graffiti with tag storage and client location tracking.


Operation Times Square

• Game: build up a visual story while moving around Manhattan

• Location is identified based on cell-ID

• Explore urban game as a vehicle for collaborative activities, e.g. media creation/consumption

(© Copyright 2005 FreeLargePhotos.com)

SensorPlanet.org


Operation Times Square

1. 2. 3.

4. 5.6.

7.

8.

9.


SensorPlanet.org …

QuickTime™ and aTIFF (LZW) decompressor

are needed to see this picture.


Links & contact

• Nokia Research Center external site: http://research.nokia.com

• More on SensorPlanet: http://sensorplanet.org

• Workshop on World Sensor Web at the ACM Sensys'2006 conference (http://www.sensorplanet.org/wsw2006/)

• Contacts:• Henry Tirri ([email protected]) • Boda Péter ([email protected])


Additional slides


Why should we be interested here in Nokia?

• wireless sensor networks are one of the major developments in the evolution of Internet

• ubicomp will be there after a very slow start

• we want to be part of this ... because it is cool


Where can we use our research - applications?

• Environmental Monitoring, Conservation biology, ...•Precision agriculture, land conservation, ... •built environment comfort & efficiency ... •alarms, security, surveillance, treaty verification ...

• Civil Engineering: structures response•condition-based maintenance•disaster management•urban terrain mapping & monitoring

• Ubiquitous computing•context aware computing, non-verbal communication

• Intelligent traffic & logistics• Wellness and health-care• Integrated robotics

By courtesy of CENS.ucla.edu


More on potential use cases


Mobile handset in Wellness

Glucose

Activity

Heart beat

Home systems

Services

Blood Pressure

Wrist

Applications


Prototype Device Implementation – Wireless Motion Band

• Wireless Motion Bands are designed for comfortable wear in different body parts to enrich user experience in gaming.

• Wireless Motion Bands allow the use of (full) body motion tracking in gaming:

• Direct 3D body motion control of a gaming character

• Detection of body poses & gestures

• Local multi player gaming. Low-latency multi device Bluetooth connectivity.

• Interoperability with Wireless Game Pads.

Design by Mikko Aarras, Nokia Design

By Courtesy of Jukka Salminen


User Interaction Examples – Virtual Snowboarding

• Direct body motion control of a computer character

• Body poses• Balance• Direction• Speed• Jumps• Landings


There is always a need of an ecosystem...

Mobile device as intelligent hub and portable application platform

IR, Bluetooth,

RFID, USB

PC and server applications and hosted internet services

Server

PC

- Coach- Trainer- Doctor- Nurse- Caregiver- Operator DB

- Service providers- Peer community

Internet services

Portfolio of communication and monitoring devices

Some sensors may be embedded in terminal

Ope

rato

r tra

ffic


Virtual Graffiti Visualisation

• Virtual Graffiti develops a horizontal platform for in-door tag placing

• Positions are determined by Bluetooth beacons• User can leave/read out/modify/etc. virtual objects left

to physical places within the NRC/Toijala premises

• The current visualisation:• Violet balls represent Bluetooth beacons and the red

ones at the centre of the picture represent clients. The red balls that constitute an oval represent other Bluetooth devices that the beacons have found.

• The thickness of the lines represents the frequency of scans made between the client and a Bluetooth device.

• On the top of the visualisation box the five last events are displayed.


Some research challenges


Some key technological challenges• ”Sensor data challenge”: how to make the high-volume sensor data

useful• query/search problem• data management problem

• ”Mobile adaptation challenge”: self-configuration and adaptation• ”Integration challenge”: how to integrate (two-way) WSN to Internet

based services (create the “gateways”)• “Power challenge”: even high-power mobile nodes are not enough• “User interaction challenge”: how end-users will benefit, interact


What sort of raw (context) data management problem we are facing?• a multidimensional (2-30) vector of real values

• frequency 0.5s - 1 day• typically “always-on”

• a 1-4M pixel image• frequency 10 min - week(s)• very irregular, high-intensity bursts (many images within minutes)

• a 100K-1M sound file• frequency 1 min - days• irregular; streaming

• Naturally many application domains require a mixture of these

10K phones - vector every 2 min results in 2.7 (US) billion vectors/year

200M phones - vector every 60 min results in about 1012 vectors/year

Documents

SensorPlanet: a global test platform for mobile- centric ...• Ultimate goal to have multiple SensorPlanet sites around the globe • Data gathered on sites accumulated in central