Crowdsensing

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.

• Reward

• 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., A Privacy Preserving Framework for Rewarding Users in Opportunistic Mobile Crowdsensing, IEEE Percom Workshops 2020

• Privacy

• Montori F., Bedogni L., Privacy preservation for spatio-temporal data in Mobile Crowdsensing scenarios, Pervasive and Mobile Computing, 2023

• Bedogni L., Cabri G., Identification of Social Aspects by Means of Inertial Sensor Data, Information 2020

• Applications

• 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