Automatically Characterizing Places with Opportunistic CrowdSensing using Smartphones
The Concept of Sensing as a Service Using Mobile Crowdsensing
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Transcript of The Concept of Sensing as a Service Using Mobile Crowdsensing
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Concept of Sensing as a Service using Mobile Crowdsensing
(Version 0.1.2 – April 12, 2013)
Dr. Mazlan Abbas MIMOS Berhad
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How Important is Your Smartphone?
[Source: Survey done by SecurEnvoy in 2011]
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
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The Growth of Consumer-‐Centric Mobile Sensing and CompuUng Devices
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Fuel the evoluUon of the IOT as they feed sensor data to the Internet at a societal scale.
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Mobile Crowdsensing -‐ individuals with sensing and compuUng devices collecUvely
share data and extract informaUon to measure and map phenomena of common
interest.
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Architecture of Crowdsensing System* Crowdsensing ApplicaUon
Crowdsensing Middleware
Crowdsensing Task ApplicaUon
Inference Component
Infrastructure CommunicaUon
Sensor Mapping and Inference Plugins
Network Interface Phone Sensors
Access Point
Sensing as a Service
Local Sensing
Mobile Phone
Remote Sensing
Crowdsensing System
*Based on METIS
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Phone Sensing
ParUcipatory or OpportunisUc Sensing
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Bikenet
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Interested to Know More?
Check this Slideshare for further updates of the Slides.
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Thank You