2026-05-28T01:13:42Zhttps://riuma.uma.es/rest/oai/requestoai:riuma.uma.es:10630/357032026-02-03T11:05:19Zcom_10630_2254col_10630_37953
RIUMA. Repositorio Institucional de la Universidad de Málaga
author
Figura, Richard
author
Ceriotti, Matteo
author
Yen Shih, Chia
author
Mulero-Pázmány, Margarita Cristina
author
Fu, Songwei
author
Daidone, Roberta
author
Jungen, Sascha
author
Negro, Juan-José
author
Marrón, Pedro José
2024-12-17T09:45:32Z
2024-12-17T09:45:32Z
2014
Figura R., Ceriotti M., Yen Shih C., Mulero-Pázmány M., Fu S., Daidone R., Jungen S., Negro J., Marrón P. (2014). IRIS: Efficient Visualization, Data Analysis and Experiment Management for Wireless Sensor Networks. EAI Endorsed Transactions on Ubiquitous Environments 14(3): e4. Pp 1-18. ISSN: 2032-9377. http://dx.doi.org/10.4108/ue.1.3.e4
https://hdl.handle.net/10630/35703
10.4108/ue.1.3.e4
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.
eng
Datos - Protección - Efectos de las innovaciones tecnológicas
IRIS: Efficient Visualization, Data Analysis and Experiment Management for Wireless Sensor Networks
journal article
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URL
https://riuma.uma.es/bitstreams/94d197e5-b22d-48fe-8e60-b73e5ae6aede/download
File
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52a942af23db616179de5dcaacf04e06
891145
application/pdf
2014_Figura et al.IRIS.pdf