Theses

@mastersthesis{amslaurea11874,
title = {A Collaborative Mobile Crowdsensing System for Smart Cities},
author = {Alain Di Chiappari},
url = {https://amslaurea.unibo.it/id/eprint/11874},
year = {2016},
date = {2016-01-01},
abstract = {Nowadays words like Smart City, Internet of Things, Environmental Awareness surround us with the growing interest of Computer Science and Engineering communities. Services supporting these paradigms are definitely based on large amounts of sensed data, which, once obtained and gathered, need to be analyzed in order to build maps, infer patterns, extract useful information. Everything is done in order to achieve a better quality of life. Traditional sensing techniques, like Wired or Wireless Sensor Network, need an intensive usage of distributed sensors to acquire real-world conditions. We propose SenSquare, a Crowdsensing approach based on smartphones and a central coordination server for time-and-space homogeneous data collecting. SenSquare relies on technologies such as CoAP lightweight protocol, Geofencing and the Military Grid Reference System.},
keywords = {android, CoAP, Environmental Monitoring, Geofencing, Internet of Things, Mobile Crowdsensing, Smart City},
pubstate = {published},
tppubtype = {mastersthesis}
}