ue 14(3): e4

Research Article

IRIS: Efficient Visualization, Data Analysis and Experiment Management for Wireless Sensor Networks

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  • @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
Richard Figura1,*, Matteo Ceriotti1, Chia-Yen Shih1, Margarita Mulero-Pázmány2, Songwei Fu1, Roberta Daidone3, Sascha Jungen1, Juanjo José Negro2, Pedro José Marrón1
  • 1: Networked Embedded Systems, University of Duisburg-Essen, Germany
  • 2: Department of Evolutionary Ecology, Doñana Biological Station, CSIC, Seville, Spain
  • 3: Department of Ingegneria dell’Informazione, University of Pisa, Italy
*Contact email: richard.figura@uni-due.de

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.