IRIS: A Flexible and Extensible Experiment Management and Data Analysis Tool for Wireless Sensor Networks

  • Richard Figura
  • Chia-Yen Shih
  • Songwei Fu
  • Roberta Daidone
  • Sascha Jungen
  • Pedro José Marrón
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 122)

Abstract

Performing field experiments is a key step to validate the design of a Wireless Sensor Network (WSN) application and to evaluate its performance under various conditions. We present an experiment management and data analysis tool called IRIS that offers effective management of various configuration settings forWSN experiments. One special feature of IRIS is its extensibility. That is, IRIS allows the developer to define customized functions for application-specific data analysis and performance evaluation. Other main features include: enabling the interaction with the deployedWSN at runtime for fine tuning the experiments and providing graphical presentation for visualizing the collected data as well as the processed results. We highlight the advantages of IRIS for the WSN application development in different experiment phases. Furthermore, we demonstrate the usefulness of IRIS with two real-life WSN applications to show that IRIS can be integrated to develop an application and can greatly help in performing experiments more efficiently.

Keywords

Wireless sensor networks Data processing Experiment management Data analysis Data visualization 

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Copyright information

© ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering 2013

Authors and Affiliations

  • Richard Figura
    • 1
  • Chia-Yen Shih
    • 1
  • Songwei Fu
    • 1
  • Roberta Daidone
    • 2
  • Sascha Jungen
    • 1
  • Pedro José Marrón
    • 1
  1. 1.Networked Embedded SystemsUniversity of Duisburg-EssenGermany
  2. 2.Department of Ingegneria dell’InformazioneUniversity of PisaItaly

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