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Quoi de Neuf ?* Leveraging Things and People as Sensors for Smart Cities

Quoi de Neuf ?* Leveraging Things and People as Sensors for Smart Cities. Animesh Pathak Project-team MiMove Inria Paris- Rocquencourt BIS 2014. * ’ ssup ?. June 19, 2014. The Internet of Things ( IoT ). Connecting the physical world with the virtual world

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Quoi de Neuf ?* Leveraging Things and People as Sensors for Smart Cities

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  1. Quoi de Neuf?* Leveraging Things and People as Sensors for Smart Cities AnimeshPathak Project-team MiMove Inria Paris-Rocquencourt BIS 2014 * ’ssup? June 19, 2014

  2. The Internet of Things (IoT) • Connecting the physical world with the virtual world • Leveraging sensing and actuation capabilities embedded in Things • Increasing number of mobile Things with many benefits => mobile IoT www.slashphone.com www.gizmag.com www.robotshop.com

  3. Mobile IoT: Illustrating scenario • How to measure wind-chill? • How to know they are in Paris? • Wind-chill sensor? • Location sensor? Wind-chill in Paris? Service Oriented Middleware ? ? ! Coarse grained data ! So many devices ! Diverse types ! Unknown availability ! Incomplete measurements • Focus: • On-demand • Discrete • Sensing/actuating requests http://www.netatmo.com/

  4. Key Challenges of the Mobile IoT • Heterogeneity (Representation) • Different Things, different data types • Ultra Large Numbers • Millions of Things, large volumes of data • Dynamic Environment • Mobile Things, short-life span

  5. Managing Scale: Probabilistic Registration • Design Rationale • Do not register redundant Things to reduce number • Set coverage threshold Enough coverage • Centralized Approach • Compute decision atregistry as search problem • Using global displacement • knowledge • But computation time increases linearly ✔ More likely to not register • Decentralized Approach • Compute decision on Thing • Estimate displacementsof registered nodesusing mobility models • Constant computation time Jardin des Tuileries

  6. Managing Scale: Probabilistic Look-up Candidate Thing Selected Thing

  7. Probabilistic Look-up: Normal distribution r1 X r2 r3 Candidate Thing Selected Thing Dmax r4 Lookup controls participation of Things

  8. Moving on… to moving in the city Photo: syracuse.com

  9. Transport: in Europe Photo: Animesh Pathak

  10. Transport: This is what “Smart” means now Photo: Anjali Sharan Photo: ParisByTrain

  11. Transport: This is what “Smart” means now Same info, smaller screen! Photo: Anjali Sharan Photo: ParisByTrain Photo: DMRC/AppStore Photo: SNCF/Android

  12. … but there are more things to do!

  13. Our Inspiration: Connected Things, Smart Cities, Mobile Citizens http://revistamoviles.blogspot.com.es/2012/03/telefonica-convertira-alcala-de-henares.html

  14. Scenario A football match just ended and the train station is crowded. Charlie is going to Alice’s place with his son and he does not want to catch the Metro 7 if it is crowded. Photo: Reuters Photo: Dailymail

  15. Idea: Participatory Sensing, for Mass Transit Like Waze, but for the Metro, Bus, RER…

  16. TravelDashboard: Participatory Sensing for Urban Transport • EIT ICT Labs • Ambientic • Inria • Thales • ALU • UCL • Systematic https://www.rocq.inria.fr/arles/traveldashboard - 16

  17. Prototype: TravelDashboard Paris

  18. Prototype: TravelDashboard Paris (2)

  19. Meanwhile in London… new incentives!

  20. and now… a short video… https://www.youtube.com/watch?v=mZyWWwm-dN8

  21. Back to Paris… and to industrial adoption!

  22. from Passenger to Operator…

  23. and now… another short video… http://vimeo.com/69621153

  24. 3cixty Platform (2014-)Platform for comprehensive view for city travelers • Uses Traveldashboard capability. • Provides preference based inputs to the user by querying related data. • Customizable platform

  25. Needed: Algorithms and protocols for incentive and privacy Social-semantics-based access-control policies Incentives • Financial • Ego-centric • Altruistic • Democratic Physical and Social KB Personalization Participatory Sensing Social Sensing Opportunistic Sensing Citizens

  26. Recognition and Future Directions • Awarded the “Prix Mashup” (€2500) at the RATP OpenDataLab in May 2013 • Led to appearance on TVFIL78 evening programming • Federated Social Networking • Privacy policies for mobile social networks • Incentive Mechanisms • How to encourage people to share their inputs • Project “Sarathi”, and Inria Lab CityLab (http://citylab.inria.fr) • Tackling smart-city challenges in Europe, India, and the Silicon Valley!

  27. Members of MiMove@Inria (previously known as ARLES) Especially Sara Hachem The TravelDashboard and 3cixty project partners Merci! Animesh.Pathak@inria.fr

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