html5-img
1 / 11

The Concept of Sensing as a Service Using Mobile Crowdsensing

This is a draft version of the presentation slides. Please visit again for a complete slide presentation.

mazlanabbas
Download Presentation

The Concept of Sensing as a Service Using Mobile Crowdsensing

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Concept  of  Sensing  as  a  Service   using  Mobile  Crowdsensing   (Version  0.1.2  –  April  12,  2013)   Dr.  Mazlan  Abbas   MIMOS  Berhad  

  2. How  Important  is  Your  Smartphone?   40%  of  men  compared  to  29%   of  women  are  more  likely  to   noUce  their  mobile  phone   missing  in  15  minutes   28%  of  respondents  between   the  ages  of  18-­‐24  would  noUce   their  mobile  phone  missing   within  5  minutes   [Source:  Survey  done  by  SecurEnvoy  in  2011]  

  3. The  Growth  of  Consumer-­‐Centric  Mobile   Sensing  and  CompuUng  Devices  

  4. Fuel  the  evoluUon  of  the  IOT  as  they  feed   sensor  data  to  the  Internet  at  a  societal  scale.  

  5. Mobile  Crowdsensing  -­‐  individuals  with   sensing  and  compuUng  devices  collecUvely   share  data  and  extract  informaUon  to   measure  and  map  phenomena  of  common   interest.  

  6. Architecture  of  Crowdsensing  System*   Mobile  Phone   Crowdsensing  ApplicaUon   Crowdsensing   System   Crowdsensing  Middleware   Crowdsensing  Task  ApplicaUon   Sensing  as   a  Service   Local  Sensing   Remote  Sensing   Sensor  Mapping  and   Inference  Plugins   Inference   Component   Infrastructure   CommunicaUon   Access  Point   Phone  Sensors   Network  Interface   *Based  on  METIS  

  7. Phone  Sensing   ParUcipatory  or  OpportunisUc  Sensing  

  8. Bikenet  

  9. Interested  to  Know  More?     Check  this  Slideshare  for  further  updates  of   the  Slides.  

  10. Thank  You  

  11. Dr.  Mazlan  Abbas   @mazlan_abbas   mazlan.abbas@mimos.my  

More Related