We introduce the Spectrum Analysis Framework for Interferer Classification (SaFIC), a prototyping framework for interferer detection in wireless networks. Robustness has become the major challenge in many application scenarios such as health care and industrial automation. Besides the assessment of the available channel capacity and node mobility, interference among different networks and even network technologies is one of the most critical and challenging problems. SaFIC provides an interface that allows for the implementation of protocol specific detector modules for different sources of interference. Based on a generic interface, the detection modules can schedule individual scan jobs that are served by the framework. Currently, we support TelosB motes running Contiki OS for the scanning of the frequency band. We developed detection models for WiFi and IEEE 802.15.4 to demonstrate the capabilities of the framework.
Authors' Version 
(PDF on this web site)
BibTeX 
Bastian Bloessl
Stefan Joerer
Noorsalwati Nordin
Christoph Sommer
Falko Dressler
@inproceedings{bloessl2012safic,
address = {Orlando, FL},
author = {Bloessl, Bastian and Joerer, Stefan and Nordin, Noorsalwati and Sommer, Christoph and Dressler, Falko},
booktitle = {31st IEEE Conference on Computer Communications (INFOCOM 2012), Demo Session},
month = {March},
publisher = {IEEE},
title = {{SaFIC: A Spectrum Analysis Framework for Interferer Classification in the 2.4 GHz Band}},
year = {2012},
}Links to final or draft versions of papers are presented here to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted or distributed for commercial purposes without the explicit permission of the copyright holder.
The following applies to all papers listed above that have IEEE copyrights: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
The following applies to all papers listed above that are in submission to IEEE conference/workshop proceeedings or journals: This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible.
The following applies to all papers listed above that have ACM copyrights: ACM COPYRIGHT NOTICE. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Publications Dept., ACM, Inc., fax +1 (212) 869-0481, or permissions@acm.org.
The following applies to all SpringerLink papers listed above that have Springer Science+Business Media copyrights: The original publication is available at www.springerlink.com.