Thesis Topic Details

Topic ID:
3468
Title:
Incentivized Participatory Sensing for Smart Cities
Supervisor:
Salil Kanhere
Research Area:
People-Centric Sensing, Mobile Computing
Associated Staff
Assessor:
Mahbub Hassan
Topic Details
Status:
Active
Type:
R & D
Programs:
CS BIOM SE
Group Suitable:
Industrial:
Pre-requisites:
good programming skills
Description:
Smartphones and tablets have attracted very popular and pervasive use in urban cities like Sydney and Singapore. Such mobile devices can potentially provide a powerful means of large-scale data collection from the ambient environment and people. In this project, we rely on actual use scenarios obtained from discussions with government agencies in Singapore (end users) to develop a smartphone based software system which involves sophisticated backend processing as well. The application is for public users to report their observations or sensor readings to government agencies in order to generate useful information service to benefit the community and the city/country. Smartphone users will play a role as content providers and government agencies will be the content consumer. Meanwhile, users can consume the refined information as well.
Comments:
Requirements:
- familiar with smartphone programming (Android/iOS/PhoneGap/HTML5)
- familiar with web development (HTML/JavaScript/PHP)
- familiarity with MySQL database development will be a plus
- Ability to do art design will be a big plus
Past Student Reports
 
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