Research Article
IRIS: Efficient Visualization, Data Analysis and Experiment Management for Wireless Sensor Networks
@ARTICLE{10.4108/ue.1.3.e4, author={Richard Figura and Matteo Ceriotti and Chia-Yen Shih and Margarita Mulero-P\^{a}zm\^{a}ny and Songwei Fu and Roberta Daidone and Sascha Jungen and Juanjo Jos\^{e} Negro and Pedro Jos\^{e} Marr\^{o}n}, title={IRIS: Efficient Visualization, Data Analysis and Experiment Management for Wireless Sensor Networks}, journal={EAI Endorsed Transactions on Ubiquitous Environments}, volume={1}, number={3}, publisher={ICST}, journal_a={UE}, year={2014}, month={11}, keywords={Wireless Sensor Networks; Data Processing; Experiment Management; Data Analysis; Data Visualization; End-User Application Development.}, doi={10.4108/ue.1.3.e4} }- Richard Figura
Matteo Ceriotti
Chia-Yen Shih
Margarita Mulero-Pázmány
Songwei Fu
Roberta Daidone
Sascha Jungen
Juanjo José Negro
Pedro José Marrón
Year: 2014
IRIS: Efficient Visualization, Data Analysis and Experiment Management for Wireless Sensor Networks
UE
ICST
DOI: 10.4108/ue.1.3.e4
Abstract
The design of ubiquitous computing environments is challenging, mainly due to the unforeseeable impact of real-world environments on the system performance. A crucial step to validate the behavior of these systems is to perform in-field experiments under various conditions. We introduce IRIS, an experiment management and data processing tool allowing the definition of arbitrary complex data analysis applications. While focusing on Wireless Sensor Networks, IRIS supports the seamless integration of heterogeneous data gathering technologies. The resulting flexibility and extensibility enable the definition of various services, from experiment management and performance evaluation to user-specific applications and visualization. IRIS demonstrated its effectiveness in three real-life use cases, offering a valuable support for in-field experimentation and development of customized applications for interfacing the end user with the system.
Copyright © 2014 Richard Figura et al., licensed to ICST. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
