Urban%20Sensing%20Systems:%20Opportunistic%20or%20Participatory?

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Urban Sensing Systems Opportunistic or
Participatory?

• Nicholas D. Lane
• Shane B. Eisenman
• Mirco Musolesi
• Emiliano Miluzzo
• Andrew T. Campbell

Presented By Pradeep Vaghela
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Outline

• Introduction
• Evaluation Model
• Related Work
• Conclusion

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Introduction

• Urban Sensing Systems large scale systems to
  sense the environment through making use of
  static or mobile sensors
• People Centric Sensing Using mobility of
  people and their mobile devices

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Introduction
ReferenceMesh Networking , The rise of people
centric Sensing- MetroSense Group
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Introduction

• Metrosence - A new wireless sensor edge network
  based on the concept of "people-centric sensing"
  at a large scale (campus, town, metropolies)
• Various projects CenseMe-facilitate the sharing
  of "presence" information among friends.
• AnonySense project, we are working to ensure the
  security, trust, and privacy of people-centric
  data

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Architecture of People centric sensing system

• Query submission-sensor type and sensing
  condition
• Device selection- which resources to fulfill the
  query mobile phones or Wi-Fi access points
• Sensor sampling- when to sample
• Data analysis, sharing presentation

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Introduction

• Custodians of the mobile devices play vital role
• Participatory- active owner
• Opportunistic- passive owner

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Introduction- Participatory Sensing

• Custodian involved at significant decision stages
  such as what data to share, privacy mechanism
• Example DietSense( CENS-UCLA)

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Introduction- Opportunistic Sensing

• Device is utilized whenever application
  requirements are met
• Privacy and transparency are importance issues
• Example Pothole Petrol
• Participatory or Opportunistic ?

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An evaluation model

• Quantitative evaluation of the choice of the
  participatory model against opportunistic one
• Notation. M total no of devices in the system
• Paccept_query
• Puser_adapt
• Pcontext_match
• Phave_sensor

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An evaluation model

• Participatory Success Probability,
• Opportunistic Success Probability,
• Opportunist is better when,

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An evaluation model

• Quantitative evaluation through Google street
  view like application
• Phave_sensor 0.8( 80 of the cellphones have
  camera)
• Pcontext_match 838/(3652460)
• Pquery_accept 0.3( contact rate using first
  call attempts)
• Puser_adapt 0.2 ( again using contact rate)

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An evaluation model..
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An evaluation model..
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An evaluation model..

• Opportunistic good when constituent model
  probabilities are in favor. Also performance
  degrade slowly
• Increasing the number of devices only amplifies
  the positive aspect of the opportunistic approach
• Therefore, given uncertainty in the user
  population size and user participation
  probability supporting opportunistic sensing is
  well motivated.

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Related Work

• Most system represent a middle ground
• Opportunistic- Cartel
• Urban Sensing project CENS demands more human
  intervention in the sensing loop. In DietSense ,
  user takes photograph of the food

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Conclusion

• Two potential roles of sensor custodians in urban
  sensing systems are compared.
• Opportunistic sensing design more easily supports
  large scale deployments and application
  diversity.

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Critique and Questions?

• How reliable probabilities are ?