The Concept of Sensing as a Service Using Mobile Crowdsensing
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The document discusses the concept of 'sensing as a service' through mobile crowdsensing, highlighting the importance of smartphones in data collection. It explains how individuals use their mobile devices to collectively share and analyze sensor data, contributing to the Internet of Things (IoT). Additionally, the architecture of a crowdsensing system is outlined, distinguishing between local and remote sensing capabilities.
![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]](https://image.slidesharecdn.com/saasandmcs-130411184757-phpapp01/85/The-Concept-of-Sensing-as-a-Service-Using-Mobile-Crowdsensing-2-320.jpg)
The Concept of Sensing as a Service Using Mobile Crowdsensing
- 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 Inference Sensor Mapping and Component Inference Plugins Infrastructure Access Point CommunicaUon 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