Programming framework for mobile crowd sensing

Cilj ovog diplomskog rada bio je analizirati postojeće primjene skupnog korisničkog prikupljanja podataka u pokretu obraćajući pažnju na učinkovitost obrade velike količine senzorskih podataka u stvarnom vremenu. Također, bilo je potrebno osmisliti i programski izvesti programski okvir za skupno korisničko prikupljanje podataka u pokretu koristeći programski modul CloUd-based PUblish/Subscribe for the Internet of Things (CUPUS) te prikazati njegovu primjenu na odabranom studijskom slučaju. Mobilna aplikacija ''Gdje je Tramvaj?'' osigurava sirove podatke o lokaciji tramvaja koje generiraju korisnici aplikacije, a u koheziji s razvijenim sustavom pruža korisnicima informacije o trenutnom stanju tramvajskog prometa u gradu Zagrebu. Korisnici definiranjem pretplate ili slanjem jednokratnih upita prema poslužitelju dolaze do relevantnih podataka vezanih za tramvajski promet u stvarnom vremenu.The aim of this thesis was to analyze existing mobile crowdsening applications focusing on their efficiency and processing of large amounts of real-time sensor data. In addition, the task was to design and develop a programming framework for mobile crowdsensing applications using the programming module CloUD-based Publish/Subscribe for the Internet of Things (CUPUS) and to demonstrate its applicability using a selected case study. The mobile application ''Gdje je Tramvaj?'' provides raw data about tram locations generated by application users, and in cohesion with developed system, supplies real-time information to users about Zagreb's tram transportation. Users can define continuous queries or can send one-time queries to the server in order to receive relevant real-time data about tram transportation in the city of Zagreb