This document discusses using opportunistic networks to provide crowd steering services at a music festival. It outlines requirements like scalability and adaptability given the large, unpredictable crowds. The SAPERE project aims to develop a decentralized framework for self-aware, adaptive services on mobile devices. A proposed app would use devices to share information about events, points of interest, taxi locations and more to guide the crowd. Design considerations include how information spreads, routing algorithms, technologies like Bluetooth and challenges of collisions, overload and simulations.

1. Crowd Steering:
Music Festival Case Study
Jose Luis Fernandez-Marquez
University of Geneva, Switzerland
Joseluis.fernandez@unige.ch
http://iss.unige.ch
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2. Outline
 Motivation – Opportunistic networks
 SAPERE project
 Music Festival
 Description
 Requirements
 What are we expecting from you?
 What should you think about?
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3. Motivation
 Traffic control
 Alerts about accidents or dangers on
the road (e.g. ice, or oil)
 Cars navigators using context
information. (e.g avg. speed of cars)
 Virtual tourist guide
 Avoid very crowded streets
 Receive information about event
that are happening close to you
 Cinema, theather, etc..
 Taxi booking service
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4. Motivation
 Characterized by:
 Large Scale
 Openness
 Unpredictability
 Requirements:
 Scalability
 Robustness
 Adaptability
 Context-aware
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5. SAPERE project
 Theoretical and practical framework for
decentralized development and execution of
self-aware and adaptive services for future and
emerging pervasive network scenarios.
 Chemical Interactions among Services
 Smooth data/service distinction
 Spontaneous interactions of
available services
 Bio-chemical reactions
 Middleware for Android phones / tablets
 Context-awareness (user, situation recognition)
 Case Study
 Focus on public/private displays for crowd steering
 Domains
 Context-Aware Advertisement, Crowd Steering, User guidance
 EU Funded Project (SAPERE: http://www.sapere-project.eu)
FACULTÉ DES SCIENCES U Bologna, U Modena, U Linz, U St-Andrews
 Collaboration: U Geneva,
ÉCONOMIQUES ET SOCIALES
 2010-2013
Département des Hautes Etudes Commerciales -HEC

6. Music Festival
 Features:
 Current centralised solutions are not
scalable:
 It’s not possible to make calls, send
messages, or have internet connection.
 Mobile network overload.
 High density of people, most of them
bringing mobile phones or pdas.
 Open spaces:
 It makes easy the positioning (use of GPS)
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7. App. Requirements
 Crowd steering:
 A user wants to find other users.
 A user wants to find a point of interest.
 Organisers want to publish events (without using
centralised infrastructure):
 Taxi or bus location
 Music Festival Agenda
 Emergency exits, toilets, bars, merchandising.
 A bar owner wants to advert offers during the festival
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8. App. Requirements
 Social Network:
 Add people to your social network
 Sharing profiles, pictures
 To know if people in your social network are in the music festival
 A user wants to chat with other users (friends)
 One to one, or one to n-users.
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9. What are we
expecting from you?
 Designing the application:
 Use of self-organising design patterns.
 Contribution of each pattern.
 Relationships between them.
 Description of the entities participating in the system.
 Description of the interactions between the entities.
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10. What you should
think about?
 How does the information spread?
 Analysis of the different spreading algorithms existing in the
literature (e.g. probabilistic, position-based, counter-based)
 Routing algorithms for opportunistic networks?
 Are they required? When should they be used?
 What are the current technologies that give support for this
type of infrastructures?
 Bluetooth, zigbee, wi-fi, direct wi-fi…etc.
 Are they satisfying the current requirements of this type of
applications?
 Which one would be the best?
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11. What you should
think about?
 What are the main challenges in the implementation?
 Information collisions, network overload, Memory, CPU
 How could these problems be overcome?
 How can we simulate the application?
 What is the goal of the simulation? Scalability, robustness,
Feasibility? Validating the design?
 Which are the existing tools that allow us to simulate this
application. (Repast, one, ns2, …)
 SASO workshops. Deadline: 4th July
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12. Any questions?
Thank you for your attention!
Jose Luis Fernandez-Marquez
Joseluis.fernandez@unige.ch
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