Crowdsensing systems collect data from users, through their smartphone or any other capable device. The data collected with this methodology can highlight pattern in an area of interest, and is in general a welcome solution for many different use cases.
Crowdsensing system present several challenges. Please refer to the following publications for an overview of the recent research performed in this field.
- Bedogni L., Montori F., Joint privacy and data quality aware reward in opportunistic Mobile Crowdsensing systems, Journal of Network and Computer Applications, 2023
- Montori F., Bedogni L., Privacy preservation for spatio-temporal data in Mobile Crowdsensing scenarios, Pervasive and Mobile Computing, 2023
- Choi K., Bedogni L., Levorato M., Enabling Green Crowdsourced Social Delivery Networks in Urban Communities, Sensors, 2022
- Montori F., Bedogni L., Bononi L., A Collaborative Internet of Things Architecture for Smart Cities and Environmental Monitoring, IEEE Internet of Things Journal, 2018