IRIS : A Flexible and Extensible Experiment Management and Data Analysis Tool for Wireless Sensor Networks
| Autor: | Sascha Jungen, Roberta Daidone, Songwei Fu, Pedro José Marrón, Richard Figura, Chia-Yen Shih |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2013 |
| Předmět: | |
| Zdroj: | Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783319041650 S-CUBE |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|