Pervasive and Mobile Computing

The result that run under different number of shards.

Data for: "Free Floating Electric Car Sharing Design: Data Driven Optimisation". Anonymized datasaset of 2 months of trips of car sharing users in the city of Turin init_lon: longitude in which the car starts the actual rental. Coordinates reference system: EPSG:4326 init_lat: latitude in which the car starts the actual rental. Coordinates reference system: EPSG:4326 final_lon: longitude in which the car ends the actual rental. Coordinates reference system: EPSG:4326 final_lat: latitude in which the car ends the actual rental. Coordinates reference system: EPSG:4326 init_time: rental init timestamp, in ISODate final_time: rental init timestamp, in ISODate For tools and simulator refer to: https://github.com/michelelt/sim3.0.

The attachment contains two folders: code and data. The code folder contains the Python code implemented for the models proposed and compared by the paper "Effective Truth Discovery and Fair Reward Distribution for Mobile Crowdsensing Using Sensing Expertise from IoT Infrastructures". The data folder contains the real-life sensing data collected from 10 mobile devices, which cover illuminance, sound level and WiFi signal strength.

Emotion: A numeric real dataset