Distributed data processing in opportunistic networks

Description of research

This research focuses on heterogeneous sensor networks for safety and security in public places. Doubtlessly that more than 40% of people feel unsafe in the city since the authorities as well as the general public are often not well informed during emergencies. Usually, people carry mobile phones with them all day. Therefore, data measured by onboard sensors of smart phones and by sensors attached to bikes, cars or public transport can be used to predict dangerous situations, such as dangerous levels of CO2 or other substances that define air quality.

Although using smart phones is a low cost solution for context-awareness, people are not always willing to participate in measuring and exchanging data because of privacy, power consumption, etc. This results in the lack of measurements to achieve enough accuracy. In addition, unstable connectivity due to sparse networks deter centralized data processing. Hence, this research aims at distributed data processing for event detection in under such constraints. Part of this research is also focused on data dissemination to collect measurements as well as to inform citizens and authorities about abnormal situations.

Advisor(s)

Prof. dr. ing. Paul Havinga

ir. Hans Scholten

Duration

June 2011 – June 2015

Project

Sensafety : Heterogeneous Sensor Networks for Safety and Security in Public Places

Funding institution

COMMIT

Strategic Research Orientation

WiSe - Wireless and Sensor Systems

Links to relevant web pages:

http://ps.cs.utwente.nl/

http://sensafety.nl/

http://ps.cs.utwente.nl/people.php?person=Le,_VD

Picture

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Home CTIT symposium 2013 About CTIT News NIRICT Research Meet the PhDs Working at CTIT Internal Information Conferences Open Calls (updated May 3, 2013) Library and Videos Knowledge Transfer Links Sitemap Search	Distributed data processing in opportunistic networks Description of research This research focuses on heterogeneous sensor networks for safety and security in public places. Doubtlessly that more than 40% of people feel unsafe in the city since the authorities as well as the general public are often not well informed during emergencies. Usually, people carry mobile phones with them all day. Therefore, data measured by onboard sensors of smart phones and by sensors attached to bikes, cars or public transport can be used to predict dangerous situations, such as dangerous levels of CO2 or other substances that define air quality. Although using smart phones is a low cost solution for context-awareness, people are not always willing to participate in measuring and exchanging data because of privacy, power consumption, etc. This results in the lack of measurements to achieve enough accuracy. In addition, unstable connectivity due to sparse networks deter centralized data processing. Hence, this research aims at distributed data processing for event detection in under such constraints. Part of this research is also focused on data dissemination to collect measurements as well as to inform citizens and authorities about abnormal situations. Advisor(s) Prof. dr. ing. Paul Havinga ir. Hans Scholten Duration June 2011 – June 2015 Project Sensafety : Heterogeneous Sensor Networks for Safety and Security in Public Places Funding institution COMMIT Strategic Research Orientation WiSe - Wireless and Sensor Systems Links to relevant web pages: http://ps.cs.utwente.nl/ http://sensafety.nl/ http://ps.cs.utwente.nl/people.php?person=Le,_VD Picture