Research Article
IRIS: A Flexible and Extensible Experiment Management and Data Analysis Tool for Wireless Sensor Networks
@INPROCEEDINGS{10.1007/978-3-319-04166-7_7, author={Richard Figura and Chia-Yen Shih and Songwei Fu and Roberta Daidone and Sascha Jungen and Pedro Marr\^{o}n}, title={IRIS: A Flexible and Extensible Experiment Management and Data Analysis Tool for Wireless Sensor Networks}, proceedings={Sensor Systems and Software. 4th International ICST Conference, S-Cube 2013, Lucca, Italy, June 11-12, 2013, Revised Selected Papers}, proceedings_a={S-CUBE}, year={2014}, month={6}, keywords={Wireless sensor networks Data processing Experiment management Data analysis Data visualization}, doi={10.1007/978-3-319-04166-7_7} }- Richard Figura
Chia-Yen Shih
Songwei Fu
Roberta Daidone
Sascha Jungen
Pedro Marrón
Year: 2014
IRIS: A Flexible and Extensible Experiment Management and Data Analysis Tool for Wireless Sensor Networks
S-CUBE
Springer
DOI: 10.1007/978-3-319-04166-7_7
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 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.