Diplomarbeit DIP-2017-02

Bibliograph.
Daten
Chen, Na: Compressive Sensing-Based Data Uploading in Time-driven Public Sensing Applications.
Universität Stuttgart, Fakultät Informatik, Elektrotechnik und Informationstechnik, Diplomarbeit Nr. 2 (2017).
74 Seiten, englisch.
CR-Klassif.C.2.1 (Network Architecture and Design)
C.2.4 (Distributed Systems)
Kurzfassung

Over the last few years, the technology of mobile phones greatly got increased. People gain and upload more and more information through their mobile phones in an easy way. Accordingly, a new sensing technology emerges, referred to as public sensing (PS). The core idea behind PS is to exploit the crowdedness of smart mobile devices to opportunistically provide real-time sensor data considering spatial and environmental dimensions. Recently, PS has been applied in many different application scenarios, such as environmental monitoring, traffic analysis, and indoor mapping. However, PS applications face several challenges. One of the most prominent challenges is the users acceptance to participate in the PS applications. In order to convince users to participate in the PS applications, several incentives mechanisms have been developed. However, the main two requirements – which should be met by any PS application – are the users’ privacy and the energy costs of running the PS application.

Volltext und
andere Links
PDF (3064832 Bytes)
Abteilung(en)Universität Stuttgart, Institut für Parallele und Verteilte Systeme, Verteilte Systeme
BetreuerRothermel, Prof. Kurt; Abdelaal, Dr. Mohamed
Eingabedatum3. Juli 2018
   Publ. Informatik