Title :
A Unified View on Data Path Aspects for Sensing Applications at a Smart City Scale
Author :
Gazis, V. ; Strohbach, M. ; Akiva, N. ; Walther, M.
Author_Institution :
AGT Group (R&D) GmbH, Darmstadt, Germany
Abstract :
Founded upon the Internet of Things (IoT), the technological landscape of Smart Cities brings a wide range of operational parameters which pose significant challenges for architectural concerns. Herein we provide a unified view on the data path issues of sensing applications in terms of generic capabilities. We touch information granularity and semantic load concerns, discussing the escalation of detail from raw data to event indicators and, ultimately, deductions. Furthermore, we discuss customization and non-functional optimizations associated to particular application domains. In this regard, we identify key components in the data path. We conclude with design insights for an accommodating and efficient design of the data path for IoT applications.
Keywords :
Internet of Things; data flow computing; town and country planning; Internet of Things; IoT; architectural concern; data flow architecture; data path aspect; information granularity; nonfunctional optimization; semantic load; sensing application; smart city scale; Cognition; Data models; Information management; Internet of Things; Semantics; Sensors; Uncertainty; Internet of Things; data flow architecture; sensing applications; social sensors; unified data models;
Conference_Titel :
Advanced Information Networking and Applications Workshops (WAINA), 2013 27th International Conference on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4673-6239-9
Electronic_ISBN :
978-0-7695-4952-1
DOI :
10.1109/WAINA.2013.66